236 Data Intern jobs in Ireland
Data Architect
Dublin, Leinster
Fiserv
Posted today
Job Viewed
Job Description
**Calling all innovators - find your future at Fiserv.**
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Data Architect
Fiserv is a global provider of financial services technology. Our clients include banks, thrifts, credit unions, securities broker dealers, leasing and finance companies, and retailers. At Fiserv, we are building the next generation of data driven products and services to support continued growth of our business.
We are currently looking at expanding our technology centre and are seeking people who want to work on core data driven products for deployment on a global scale. We want to talk with people who want to;
+ Create better experiences for users
+ Prioritize ease of use and functionality
+ Build and deploy new services
+ Ask questions of the biggest datasets
+ Be passionate, impactful and Be first
+ Join a team on a mission
**Role Overview**
As part of Data Solutions delivery pillar in EMEA, this position requires working on building, maintaining, and evolving enterprise data platform and plays a critical role in designing and constructing the underlying structure that organizes and represents the data within the platform. This involves collaborating with various stakeholders to understand their requirements and translate them into conceptual, logical, and physical data models. The role ensures that the data is accurately captured, stored, and accessed according to the platform's objectives and business needs. They also implement data modeling best practices, such as normalization and denormalization, to optimize data integrity, performance, and scalability. Additionally, this role works closely with data engineers and architects to integrate the models into the overall platform architecture, facilitating efficient data processing and analysis. Their contributions are fundamental in shaping the foundation of the data platform, enabling effective data management and decision-making across the organization.
They will, in collaboration with a multidisciplinary delivery team, be responsible for the development, deployment, monitoring, troubleshooting and maintenance of critical data driven solutions in production.
**Primary Responsibilities:**
+ Collaborate with stakeholders to understand, document, and translate data requirements, business rules, and objectives for the data platform.
+ Design and develop conceptual, logical, and physical data models that accurately represent the organization's data assets while aligning with business needs.
+ Lead the design and maintenance of the Enterprise Data Model, ensuring effective and secure data storage solutions.
+ Implement data modeling best practices, including normalization, denormalization, indexing, and recovery strategies to enhance data integrity, performance, and scalability.
+ Analyze current databases and data systems to identify new solutions that increase efficiency and performance while driving insightful data analytics.
+ Work closely with data engineers and developers, bridging the gap between business analysis and technical solutions.
+ Drive architectural designs for integration and migration methods, facilitating the seamless flow of data across applications.
+ Design and implement effective database solutions for storing and retrieving company data, ensuring compliance with enterprise data standards and governance.
+ Evaluate and recommend appropriate data storage technologies and database management systems based on project requirements and constraints.
+ Prepare accurate database design and architecture reports for management and executive teams.
+ Collaborate with data analysts to ensure that models support effective data analysis and reporting capabilities.
+ Educate staff members through training and individualized support, fostering an understanding of database principles and solutions within the team.
+ Communicate effectively with technical and non-technical stakeholders to present and explain data models, design decisions, and recommendations.
+ Analyze and document business processes, system architecture, and business/functional requirements to drive improvements.
**Knowledge & Skills:**
+ A proven 7+ years of experience in data modeling and data architecture roles, specifically within data and analytics environments.
+ Strong hands on understanding of key data modeling concepts and patterns, such as Inmon, and Kimball methodologies.
+ In-depth knowledge of database structure principles, system requirements analysis, and data mining/segmentation techniques.
+ Expertise in SQL, Oracle, and database tuning, with familiarity in data visualization tools.
+ Proven analytical skills with a problem-solving attitude and strong organizational abilities.
+ Experience working across multiple business processes, systems, and platforms, with a strong background in the Financial Services Domain.
+ Hands-on experience with Enterprise Architect or similar tools for UML modeling is advantageous.
+ Experience with data modeling solutions deployment automation is a plus
+ Excellent written and verbal communication skills.
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Data Architect
Fiserv is a global provider of financial services technology. Our clients include banks, thrifts, credit unions, securities broker dealers, leasing and finance companies, and retailers. At Fiserv, we are building the next generation of data driven products and services to support continued growth of our business.
We are currently looking at expanding our technology centre and are seeking people who want to work on core data driven products for deployment on a global scale. We want to talk with people who want to;
+ Create better experiences for users
+ Prioritize ease of use and functionality
+ Build and deploy new services
+ Ask questions of the biggest datasets
+ Be passionate, impactful and Be first
+ Join a team on a mission
**Role Overview**
As part of Data Solutions delivery pillar in EMEA, this position requires working on building, maintaining, and evolving enterprise data platform and plays a critical role in designing and constructing the underlying structure that organizes and represents the data within the platform. This involves collaborating with various stakeholders to understand their requirements and translate them into conceptual, logical, and physical data models. The role ensures that the data is accurately captured, stored, and accessed according to the platform's objectives and business needs. They also implement data modeling best practices, such as normalization and denormalization, to optimize data integrity, performance, and scalability. Additionally, this role works closely with data engineers and architects to integrate the models into the overall platform architecture, facilitating efficient data processing and analysis. Their contributions are fundamental in shaping the foundation of the data platform, enabling effective data management and decision-making across the organization.
They will, in collaboration with a multidisciplinary delivery team, be responsible for the development, deployment, monitoring, troubleshooting and maintenance of critical data driven solutions in production.
**Primary Responsibilities:**
+ Collaborate with stakeholders to understand, document, and translate data requirements, business rules, and objectives for the data platform.
+ Design and develop conceptual, logical, and physical data models that accurately represent the organization's data assets while aligning with business needs.
+ Lead the design and maintenance of the Enterprise Data Model, ensuring effective and secure data storage solutions.
+ Implement data modeling best practices, including normalization, denormalization, indexing, and recovery strategies to enhance data integrity, performance, and scalability.
+ Analyze current databases and data systems to identify new solutions that increase efficiency and performance while driving insightful data analytics.
+ Work closely with data engineers and developers, bridging the gap between business analysis and technical solutions.
+ Drive architectural designs for integration and migration methods, facilitating the seamless flow of data across applications.
+ Design and implement effective database solutions for storing and retrieving company data, ensuring compliance with enterprise data standards and governance.
+ Evaluate and recommend appropriate data storage technologies and database management systems based on project requirements and constraints.
+ Prepare accurate database design and architecture reports for management and executive teams.
+ Collaborate with data analysts to ensure that models support effective data analysis and reporting capabilities.
+ Educate staff members through training and individualized support, fostering an understanding of database principles and solutions within the team.
+ Communicate effectively with technical and non-technical stakeholders to present and explain data models, design decisions, and recommendations.
+ Analyze and document business processes, system architecture, and business/functional requirements to drive improvements.
**Knowledge & Skills:**
+ A proven 7+ years of experience in data modeling and data architecture roles, specifically within data and analytics environments.
+ Strong hands on understanding of key data modeling concepts and patterns, such as Inmon, and Kimball methodologies.
+ In-depth knowledge of database structure principles, system requirements analysis, and data mining/segmentation techniques.
+ Expertise in SQL, Oracle, and database tuning, with familiarity in data visualization tools.
+ Proven analytical skills with a problem-solving attitude and strong organizational abilities.
+ Experience working across multiple business processes, systems, and platforms, with a strong background in the Financial Services Domain.
+ Hands-on experience with Enterprise Architect or similar tools for UML modeling is advantageous.
+ Experience with data modeling solutions deployment automation is a plus
+ Excellent written and verbal communication skills.
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
This advertiser has chosen not to accept applicants from your region.
0
Data Scientist
Kilkenny, Leinster
Abbott
Posted today
Job Viewed
Job Description
Job Description
**Have you ever wanted to make a difference?**
At Abbott, you will play a crucial role to help people live more fully at all stages of their lives. Abbott is a global healthcare leader and our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritional products and branded generic medicines. Our 113,000 colleagues have a daily impact on the life of people in more than 160 countries.
**Abbott Ireland**
In Ireland, Abbott employs over 5,000 people across nine sites. We currently have six manufacturing facilities located in Clonmel, Cootehill, Donegal, Longford and Sligo and a third-party manufacturing management operation in Sligo. Abbott also has commercial, support operations and shared services in Dublin and Galway. We have been making a difference in the lives of Irish people since 1946.
**Diabetes Care Kilkenny**
Our new manufacturing facility in Kilkenny, reflects the growing demand for Abbott's global Diabetes Care products. The facility will be a centre for world-class engineering, quality, medical device manufacturing, and other science-based professionals to produce life-changing technologies that enable people with diabetes to live the best and fullest lives they can. At Abbott in Kilkenny, you can shape your career as you help shape the future of healthcare.
**This is how you can make a difference at Abbott:**
We currently have a requirement for a Data Scientist to join our New Abbott Diabetes Care Kilkenny site. The following is required for this role:
**What You'll Do**
As a key member of our team, you'll:
+ Provide real-time data analysis to support manufacturing operations-helping optimize processes, improve material performance, and enhance yield.
+ Develop documentation that maps critical quality attributes to manufacturing systems, ensuring traceability and compliance.
+ Maintain and enhance our Manufacturing Execution System (POMS), including database schemas, reports, and recipe configurations.
+ Collaborate cross-functionally with QA, Engineering, R&D, Regulatory Affairs, and Purchasing to ensure timely and effective execution of initiatives.
+ Support site-wide reporting, including monthly metrics and quarterly product quality monitoring.
+ Independently explore and analyze large, complex datasets to uncover insights and support investigations.
+ Translate statistical findings into actionable business strategies.
+ Lead projects to advance statistical methodologies and contribute to the site's data strategy.
+ Provide mentorship and consulting on statistical tools and data analysis to junior analysts and engineers.
+ Build automated solutions to streamline reporting and analysis.
+ Communicate complex statistical results in a clear, compelling way to non-technical audiences.
**Education and Experience:**
+ A degree in a quantitative field (e.g., Mathematics, Data Science, Statistics, Biostatistics) or equivalent industry experience.
+ Experience with relational databases (Oracle, MySQL, Microsoft Access, etc.).
+ Proficiency in programming languages such as Python, Java, Scala, C++, and R in Linux/Unix environments.
+ Familiarity with statistical software like JMP or SAS is a plus-training will be provided if needed.
+ Strong foundation in statistical concepts including hypothesis testing, regression analysis, time series, and SPC.
+ A strategic mindset with the ability to apply analytics in a business context.
+ Experience in manufacturing or working with Manufacturing Execution Systems is beneficial but not essential.
+ Excellent communication skills and a collaborative approach to problem-solving.
**What we Offer**
Attractive compensation package that includes competitive pay, as well as benefits such as
+ Family health insurance,
+ Excellent pension scheme
+ Life assurance
+ Career Development
+ Fantastic new facility
+ Growing business plus access to many more benefits.
Connect with us at and on LinkedIn ( , Facebook ( , Instagram ( , X ( and YouTube ( .
Abbott is an equal opportunities employer.
Connect with us at or on LinkedIn at on Facebook at and on Twitter @AbbottNews.
Abbott is an equal opportunities employer.
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call or email
**Have you ever wanted to make a difference?**
At Abbott, you will play a crucial role to help people live more fully at all stages of their lives. Abbott is a global healthcare leader and our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritional products and branded generic medicines. Our 113,000 colleagues have a daily impact on the life of people in more than 160 countries.
**Abbott Ireland**
In Ireland, Abbott employs over 5,000 people across nine sites. We currently have six manufacturing facilities located in Clonmel, Cootehill, Donegal, Longford and Sligo and a third-party manufacturing management operation in Sligo. Abbott also has commercial, support operations and shared services in Dublin and Galway. We have been making a difference in the lives of Irish people since 1946.
**Diabetes Care Kilkenny**
Our new manufacturing facility in Kilkenny, reflects the growing demand for Abbott's global Diabetes Care products. The facility will be a centre for world-class engineering, quality, medical device manufacturing, and other science-based professionals to produce life-changing technologies that enable people with diabetes to live the best and fullest lives they can. At Abbott in Kilkenny, you can shape your career as you help shape the future of healthcare.
**This is how you can make a difference at Abbott:**
We currently have a requirement for a Data Scientist to join our New Abbott Diabetes Care Kilkenny site. The following is required for this role:
**What You'll Do**
As a key member of our team, you'll:
+ Provide real-time data analysis to support manufacturing operations-helping optimize processes, improve material performance, and enhance yield.
+ Develop documentation that maps critical quality attributes to manufacturing systems, ensuring traceability and compliance.
+ Maintain and enhance our Manufacturing Execution System (POMS), including database schemas, reports, and recipe configurations.
+ Collaborate cross-functionally with QA, Engineering, R&D, Regulatory Affairs, and Purchasing to ensure timely and effective execution of initiatives.
+ Support site-wide reporting, including monthly metrics and quarterly product quality monitoring.
+ Independently explore and analyze large, complex datasets to uncover insights and support investigations.
+ Translate statistical findings into actionable business strategies.
+ Lead projects to advance statistical methodologies and contribute to the site's data strategy.
+ Provide mentorship and consulting on statistical tools and data analysis to junior analysts and engineers.
+ Build automated solutions to streamline reporting and analysis.
+ Communicate complex statistical results in a clear, compelling way to non-technical audiences.
**Education and Experience:**
+ A degree in a quantitative field (e.g., Mathematics, Data Science, Statistics, Biostatistics) or equivalent industry experience.
+ Experience with relational databases (Oracle, MySQL, Microsoft Access, etc.).
+ Proficiency in programming languages such as Python, Java, Scala, C++, and R in Linux/Unix environments.
+ Familiarity with statistical software like JMP or SAS is a plus-training will be provided if needed.
+ Strong foundation in statistical concepts including hypothesis testing, regression analysis, time series, and SPC.
+ A strategic mindset with the ability to apply analytics in a business context.
+ Experience in manufacturing or working with Manufacturing Execution Systems is beneficial but not essential.
+ Excellent communication skills and a collaborative approach to problem-solving.
**What we Offer**
Attractive compensation package that includes competitive pay, as well as benefits such as
+ Family health insurance,
+ Excellent pension scheme
+ Life assurance
+ Career Development
+ Fantastic new facility
+ Growing business plus access to many more benefits.
Connect with us at and on LinkedIn ( , Facebook ( , Instagram ( , X ( and YouTube ( .
Abbott is an equal opportunities employer.
Connect with us at or on LinkedIn at on Facebook at and on Twitter @AbbottNews.
Abbott is an equal opportunities employer.
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call or email
This advertiser has chosen not to accept applicants from your region.
1
Data Scientist
The Hertz Corporation
Posted today
Job Viewed
Job Description
**Job Description:**
Hertz is one of the world's largest global mobility organizations and is currently undergoing a major digital transformation. As the operator of the largest electric vehicle (EV) rental fleet, Hertz is combining its brand strength and global fleet management expertise with cutting-edge technology and innovation to redefine the future of travel, mobility, and the automotive industry. Hertz is committed to becoming a key player in the modern mobility ecosystem, with a focus on electrification, shared mobility, and delivering a digital-first customer experience.
As a Data Scientist at Hertz, you'll have the opportunity to work on high-impact strategic initiatives and solve complex challenges using state-of-the-art technologies. You'll play a critical role in enabling and optimizing our digital, connected fleet, pricing, and ridesharing products. This includes fostering collaboration, building partnerships, co-developing innovative solutions, and delivering actionable insights to leadership to inform strategy, surface opportunities, and highlight potential risks. Your work will help drive data-informed decisions across the organization, fuel operational efficiency and revenue growth, and support our broader vision for the future of mobility.
**What You'll Do:**
+ Build and maintain descriptive, predictive, and prescriptive models to optimize existing processes and uncover market opportunities for new products and services.
+ Define and analyse success and performance metrics for current and upcoming business initiatives, with a strong emphasis on A/B testing.
+ Integrate and curate data from a variety of internal and external sources to develop detailed reports, datasets, and advanced analytics that support data-driven decision-making across the business.
+ Use data visualization tools to clearly communicate insights to technical, non-technical, and senior stakeholders.
+ Break down and solve complex business challenges using quantitative and analytical approaches, identifying patterns and correlations within large, complex datasets.
**What We're Looking For:**
+ Minimum 3 years of hands-on experience in a data science role.
+ Minimum 2 years of experience with cloud-based big data, machine learning, and analytics technologies - preferably with Databricks.
+ Experience working with Google Tag Manager clickstream data is a strong plus.
+ Proficient in SQL, with experience handling both structured and unstructured data.
+ Strong experience in Python or similar scripting languages.
+ Strong interpersonal and communication skills, with experience working in agile/scrum environments.
+ Excellent problem-solving and critical thinking abilities, with a proven track record of identifying root causes and delivering simple, logical solutions to complex problems.
+ Exceptional verbal, written, and presentation skills, with the ability to effectively communicate both technical and non-technical information across all levels of the organization.
+ A bachelor's degree or higher in Computer Science or a quantitative field such as Statistics, Mathematics, Physics, Engineering, or a related field.
**What you Get:**
+ Employee Friends & Family rental discount (40% discount for employee & partner; 30% discount for up to 8 additional family/friends).
+ Hybrid/flexible working arrangements.
+ 22 days holidays on hire rising to 27 days with service.
+ Occupational Pension Scheme with up to 5% company matched contribution.
+ Life Cover payable at 4 times base salary.
+ Profit Share Scheme.
+ Tuition support plus access to compressive online learning platform.
+ 10 days paid study leave & paid exam leave where exams fall during work hours.
+ Income protection for long term illness.
+ Professional membership fees paid in full annually where membership relates directly to role.
+ Bike to Work & Travel Pass schemes.
+ Employee Assistance Programme for employees and family.
+ Occupational Health support.
+ Christmas savings scheme.
Hertz is one of the world's largest global mobility organizations and is currently undergoing a major digital transformation. As the operator of the largest electric vehicle (EV) rental fleet, Hertz is combining its brand strength and global fleet management expertise with cutting-edge technology and innovation to redefine the future of travel, mobility, and the automotive industry. Hertz is committed to becoming a key player in the modern mobility ecosystem, with a focus on electrification, shared mobility, and delivering a digital-first customer experience.
As a Data Scientist at Hertz, you'll have the opportunity to work on high-impact strategic initiatives and solve complex challenges using state-of-the-art technologies. You'll play a critical role in enabling and optimizing our digital, connected fleet, pricing, and ridesharing products. This includes fostering collaboration, building partnerships, co-developing innovative solutions, and delivering actionable insights to leadership to inform strategy, surface opportunities, and highlight potential risks. Your work will help drive data-informed decisions across the organization, fuel operational efficiency and revenue growth, and support our broader vision for the future of mobility.
**What You'll Do:**
+ Build and maintain descriptive, predictive, and prescriptive models to optimize existing processes and uncover market opportunities for new products and services.
+ Define and analyse success and performance metrics for current and upcoming business initiatives, with a strong emphasis on A/B testing.
+ Integrate and curate data from a variety of internal and external sources to develop detailed reports, datasets, and advanced analytics that support data-driven decision-making across the business.
+ Use data visualization tools to clearly communicate insights to technical, non-technical, and senior stakeholders.
+ Break down and solve complex business challenges using quantitative and analytical approaches, identifying patterns and correlations within large, complex datasets.
**What We're Looking For:**
+ Minimum 3 years of hands-on experience in a data science role.
+ Minimum 2 years of experience with cloud-based big data, machine learning, and analytics technologies - preferably with Databricks.
+ Experience working with Google Tag Manager clickstream data is a strong plus.
+ Proficient in SQL, with experience handling both structured and unstructured data.
+ Strong experience in Python or similar scripting languages.
+ Strong interpersonal and communication skills, with experience working in agile/scrum environments.
+ Excellent problem-solving and critical thinking abilities, with a proven track record of identifying root causes and delivering simple, logical solutions to complex problems.
+ Exceptional verbal, written, and presentation skills, with the ability to effectively communicate both technical and non-technical information across all levels of the organization.
+ A bachelor's degree or higher in Computer Science or a quantitative field such as Statistics, Mathematics, Physics, Engineering, or a related field.
**What you Get:**
+ Employee Friends & Family rental discount (40% discount for employee & partner; 30% discount for up to 8 additional family/friends).
+ Hybrid/flexible working arrangements.
+ 22 days holidays on hire rising to 27 days with service.
+ Occupational Pension Scheme with up to 5% company matched contribution.
+ Life Cover payable at 4 times base salary.
+ Profit Share Scheme.
+ Tuition support plus access to compressive online learning platform.
+ 10 days paid study leave & paid exam leave where exams fall during work hours.
+ Income protection for long term illness.
+ Professional membership fees paid in full annually where membership relates directly to role.
+ Bike to Work & Travel Pass schemes.
+ Employee Assistance Programme for employees and family.
+ Occupational Health support.
+ Christmas savings scheme.
This advertiser has chosen not to accept applicants from your region.
2
Data Scientist
Dublin, Leinster
The Hertz Corporation
Posted today
Job Viewed
Job Description
**Job Description:**
Hertz is one of the world's largest global mobility organizations and is currently undergoing a major digital transformation. As the operator of the largest electric vehicle (EV) rental fleet, Hertz is combining its brand strength and global fleet management expertise with cutting-edge technology and innovation to redefine the future of travel, mobility, and the automotive industry. Hertz is committed to becoming a key player in the modern mobility ecosystem, with a focus on electrification, shared mobility, and delivering a digital-first customer experience.
As a Data Scientist at Hertz, you'll have the opportunity to work on high-impact strategic initiatives and solve complex challenges using state-of-the-art technologies. You'll play a critical role in enabling and optimizing our digital, connected fleet, pricing, and ridesharing products. This includes fostering collaboration, building partnerships, co-developing innovative solutions, and delivering actionable insights to leadership to inform strategy, surface opportunities, and highlight potential risks. Your work will help drive data-informed decisions across the organization, fuel operational efficiency and revenue growth, and support our broader vision for the future of mobility.
**What You'll Do:**
+ Build and maintain descriptive, predictive, and prescriptive models to optimize existing processes and uncover market opportunities for new products and services.
+ Define and analyse success and performance metrics for current and upcoming business initiatives, with a strong emphasis on A/B testing.
+ Integrate and curate data from a variety of internal and external sources to develop detailed reports, datasets, and advanced analytics that support data-driven decision-making across the business.
+ Use data visualization tools to clearly communicate insights to technical, non-technical, and senior stakeholders.
+ Break down and solve complex business challenges using quantitative and analytical approaches, identifying patterns and correlations within large, complex datasets.
**What We're Looking For:**
+ Minimum 3 years of hands-on experience in a data science role.
+ Minimum 2 years of experience with cloud-based big data, machine learning, and analytics technologies - preferably with Databricks.
+ Experience working with Google Tag Manager clickstream data is a strong plus.
+ Proficient in SQL, with experience handling both structured and unstructured data.
+ Strong experience in Python or similar scripting languages.
+ Strong interpersonal and communication skills, with experience working in agile/scrum environments.
+ Excellent problem-solving and critical thinking abilities, with a proven track record of identifying root causes and delivering simple, logical solutions to complex problems.
+ Exceptional verbal, written, and presentation skills, with the ability to effectively communicate both technical and non-technical information across all levels of the organization.
+ A bachelor's degree or higher in Computer Science or a quantitative field such as Statistics, Mathematics, Physics, Engineering, or a related field.
**What you Get:**
+ Employee Friends & Family rental discount (40% discount for employee & partner; 30% discount for up to 8 additional family/friends).
+ Hybrid/flexible working arrangements.
+ 22 days holidays on hire rising to 27 days with service.
+ Occupational Pension Scheme with up to 5% company matched contribution.
+ Life Cover payable at 4 times base salary.
+ Profit Share Scheme.
+ Tuition support plus access to compressive online learning platform.
+ 10 days paid study leave & paid exam leave where exams fall during work hours.
+ Income protection for long term illness.
+ Professional membership fees paid in full annually where membership relates directly to role.
+ Bike to Work & Travel Pass schemes.
+ Employee Assistance Programme for employees and family.
+ Occupational Health support.
+ Christmas savings scheme.
Hertz is one of the world's largest global mobility organizations and is currently undergoing a major digital transformation. As the operator of the largest electric vehicle (EV) rental fleet, Hertz is combining its brand strength and global fleet management expertise with cutting-edge technology and innovation to redefine the future of travel, mobility, and the automotive industry. Hertz is committed to becoming a key player in the modern mobility ecosystem, with a focus on electrification, shared mobility, and delivering a digital-first customer experience.
As a Data Scientist at Hertz, you'll have the opportunity to work on high-impact strategic initiatives and solve complex challenges using state-of-the-art technologies. You'll play a critical role in enabling and optimizing our digital, connected fleet, pricing, and ridesharing products. This includes fostering collaboration, building partnerships, co-developing innovative solutions, and delivering actionable insights to leadership to inform strategy, surface opportunities, and highlight potential risks. Your work will help drive data-informed decisions across the organization, fuel operational efficiency and revenue growth, and support our broader vision for the future of mobility.
**What You'll Do:**
+ Build and maintain descriptive, predictive, and prescriptive models to optimize existing processes and uncover market opportunities for new products and services.
+ Define and analyse success and performance metrics for current and upcoming business initiatives, with a strong emphasis on A/B testing.
+ Integrate and curate data from a variety of internal and external sources to develop detailed reports, datasets, and advanced analytics that support data-driven decision-making across the business.
+ Use data visualization tools to clearly communicate insights to technical, non-technical, and senior stakeholders.
+ Break down and solve complex business challenges using quantitative and analytical approaches, identifying patterns and correlations within large, complex datasets.
**What We're Looking For:**
+ Minimum 3 years of hands-on experience in a data science role.
+ Minimum 2 years of experience with cloud-based big data, machine learning, and analytics technologies - preferably with Databricks.
+ Experience working with Google Tag Manager clickstream data is a strong plus.
+ Proficient in SQL, with experience handling both structured and unstructured data.
+ Strong experience in Python or similar scripting languages.
+ Strong interpersonal and communication skills, with experience working in agile/scrum environments.
+ Excellent problem-solving and critical thinking abilities, with a proven track record of identifying root causes and delivering simple, logical solutions to complex problems.
+ Exceptional verbal, written, and presentation skills, with the ability to effectively communicate both technical and non-technical information across all levels of the organization.
+ A bachelor's degree or higher in Computer Science or a quantitative field such as Statistics, Mathematics, Physics, Engineering, or a related field.
**What you Get:**
+ Employee Friends & Family rental discount (40% discount for employee & partner; 30% discount for up to 8 additional family/friends).
+ Hybrid/flexible working arrangements.
+ 22 days holidays on hire rising to 27 days with service.
+ Occupational Pension Scheme with up to 5% company matched contribution.
+ Life Cover payable at 4 times base salary.
+ Profit Share Scheme.
+ Tuition support plus access to compressive online learning platform.
+ 10 days paid study leave & paid exam leave where exams fall during work hours.
+ Income protection for long term illness.
+ Professional membership fees paid in full annually where membership relates directly to role.
+ Bike to Work & Travel Pass schemes.
+ Employee Assistance Programme for employees and family.
+ Occupational Health support.
+ Christmas savings scheme.
This advertiser has chosen not to accept applicants from your region.
3
Data Engineer
Dublin, Leinster
Grifols Shared Services North America, Inc
Posted today
Job Viewed
Job Description
Would you like to join an international team working to improve the future of healthcare? Do you want to enhance the lives of millions of people? Grifols is a global healthcare company that since 1909 has been working to improve the health and well-being of people around the world. We are leaders in plasma-derived medicines and transfusion medicine and develop, produce and market innovative medicines, solutions and services in more than 110 countries and regions.
At Grifols, we believe that diversity adds value to our business, our teams, and our culture. We are committed to equal employment opportunities that foster an inclusive environment.
**Position Overview:**
As a Data Engineer, you will play a pivotal role in designing, building and maintaining new and existing data pipelines that integrate data from different sources including **Google BigQuery, Microsoft Azure, Oracle, Salesforce and other enterprise platforms** . You will be responsible for transforming raw data for advanced analysis and predictions and your expertise in **SQL, Python and modern data engineering tools** will be instrumental in unlocking the potential of large-scale data sets, ensuring data consistency and quality across the organisation. You will collaborate with data scientists, analysts, software engineers, and business stakeholders to optimise data flow and the delivery of high-quality insights for data-driven decision-making.
**Key Responsibilities:**
+ Design and build robust data pipelines to extract, transform, and load **(ETL/ELT)** data from various sources into **Google BigQuery** and/or data warehouses, implementing efficient and scalable data processing solutions using **SQL and Python** , and ensuring data integrity, scalability, and performance.
+ Collaborate with different teams to integrate data from various systems **(Marketing Campaigns, Commercial Data, Microsoft Azure, Oracle, Salesforce and other data platforms)** , ensuring data consistency across the organization, and implementing data synchronization strategies to keep data up to date.
+ Transform and cleanse raw data to ensure data quality and consistency, integrating data from multiple sources to provide a unified view for analysis.
+ Ensure that data is accurate, consistent, and reliable by applying predefined rules, checks, and constraints before it is processed or used for analysis.
+ Design and implement data models and schemas in **BigQuery and Azure SQL database** to support analytical and reporting requirements, developing and maintaining logical and physical data models.
+ Monitor **BigQuery, Azure SQL database** performance and troubleshoot any data ingestion, processing, or query execution issues, implementing proactive measures to detect and address potential bottlenecks.
+ Optimize SQL queries for efficient execution and reduced processing time, employing best practices and develop automation scripts and workflows using Python to streamline data processing and integration tasks.
+ Document data pipelines, data models, and processes for both technical and non-technical stakeholders and ensure data security, governance, compliance with relevant privacy regulations.
+ Collaborate with cross-functional teams, including data scientists, data analysts, software engineers, and business stakeholders, gathering requirements and delivering solutions that meet their needs, effectively presenting data-related insights and findings.
+ Stay updated with emerging technologies and tools related to data engineering and recommending appropriate technologies to enhance data processing capabilities.
**Qualifications:**
+ Bachelor's or master's degree in Data Analytics, Computer Ccience, Software Engineering, Data Engineering, or a related field.
+ Around 3 years of experience as a Data Engineer with hands-on experience in building data pipelines across multiple systems ( **Google BigQuery, Microsoft Azure, Oracle, Salesforce and other enterprise platforms)** .
+ Proficient in SQL (query optimization techniques for large-scale data sets) and Python.
+ Strong knowledge of cloud-based data storage and processing technologies, with a focus on **Google Cloud Platform (GCP)** and **Microsoft Azure cloud services** .
+ Experience with data modelling, database design principles and data integration techniques and tools.
+ Proven experience as a **Power BI Developer** or similar (Tableau, Looker Studio, Fabric) with a strong portfolio of Power BI reports and dashboards.
+ Strong expertise in **DAX (Data Analysis Expressions)** and **Power Query** languages.
+ Familiarity with **Google Analytics** data structures and **Salesforce CRM** data structures.
+ Excellent problem-solving and analytical skills.
+ Strong communication and collaboration skills with cross-functional teams.
**Our Benefits Include:**
+ Highly competitive salary
+ Group pension scheme - Contribution rates are (1.5% / 3%/ 5%/ 7%) and company will match
+ Private Medical Insurance for the employee (Irish Life)
+ Ongoing opportunities for career development in a rapidly expanding work environment
+ Succession planning and internal promotions
+ Education allowance
+ Wellness activities - Social activities eg. Padel, Summer Events
We understand that self-doubt can hold talented individuals back from applying for opportunities. We encourage everyone who meets the qualifications to apply - we're excited to hear from you
#LI-FD1
**Location: Grange Castle International Business Park, Grange, Co. Dublin, D22 K2R3 ( more about Grifols
**Req ID:**
**Type:** Regular Full-Time
**Job Category:**
At Grifols, we believe that diversity adds value to our business, our teams, and our culture. We are committed to equal employment opportunities that foster an inclusive environment.
**Position Overview:**
As a Data Engineer, you will play a pivotal role in designing, building and maintaining new and existing data pipelines that integrate data from different sources including **Google BigQuery, Microsoft Azure, Oracle, Salesforce and other enterprise platforms** . You will be responsible for transforming raw data for advanced analysis and predictions and your expertise in **SQL, Python and modern data engineering tools** will be instrumental in unlocking the potential of large-scale data sets, ensuring data consistency and quality across the organisation. You will collaborate with data scientists, analysts, software engineers, and business stakeholders to optimise data flow and the delivery of high-quality insights for data-driven decision-making.
**Key Responsibilities:**
+ Design and build robust data pipelines to extract, transform, and load **(ETL/ELT)** data from various sources into **Google BigQuery** and/or data warehouses, implementing efficient and scalable data processing solutions using **SQL and Python** , and ensuring data integrity, scalability, and performance.
+ Collaborate with different teams to integrate data from various systems **(Marketing Campaigns, Commercial Data, Microsoft Azure, Oracle, Salesforce and other data platforms)** , ensuring data consistency across the organization, and implementing data synchronization strategies to keep data up to date.
+ Transform and cleanse raw data to ensure data quality and consistency, integrating data from multiple sources to provide a unified view for analysis.
+ Ensure that data is accurate, consistent, and reliable by applying predefined rules, checks, and constraints before it is processed or used for analysis.
+ Design and implement data models and schemas in **BigQuery and Azure SQL database** to support analytical and reporting requirements, developing and maintaining logical and physical data models.
+ Monitor **BigQuery, Azure SQL database** performance and troubleshoot any data ingestion, processing, or query execution issues, implementing proactive measures to detect and address potential bottlenecks.
+ Optimize SQL queries for efficient execution and reduced processing time, employing best practices and develop automation scripts and workflows using Python to streamline data processing and integration tasks.
+ Document data pipelines, data models, and processes for both technical and non-technical stakeholders and ensure data security, governance, compliance with relevant privacy regulations.
+ Collaborate with cross-functional teams, including data scientists, data analysts, software engineers, and business stakeholders, gathering requirements and delivering solutions that meet their needs, effectively presenting data-related insights and findings.
+ Stay updated with emerging technologies and tools related to data engineering and recommending appropriate technologies to enhance data processing capabilities.
**Qualifications:**
+ Bachelor's or master's degree in Data Analytics, Computer Ccience, Software Engineering, Data Engineering, or a related field.
+ Around 3 years of experience as a Data Engineer with hands-on experience in building data pipelines across multiple systems ( **Google BigQuery, Microsoft Azure, Oracle, Salesforce and other enterprise platforms)** .
+ Proficient in SQL (query optimization techniques for large-scale data sets) and Python.
+ Strong knowledge of cloud-based data storage and processing technologies, with a focus on **Google Cloud Platform (GCP)** and **Microsoft Azure cloud services** .
+ Experience with data modelling, database design principles and data integration techniques and tools.
+ Proven experience as a **Power BI Developer** or similar (Tableau, Looker Studio, Fabric) with a strong portfolio of Power BI reports and dashboards.
+ Strong expertise in **DAX (Data Analysis Expressions)** and **Power Query** languages.
+ Familiarity with **Google Analytics** data structures and **Salesforce CRM** data structures.
+ Excellent problem-solving and analytical skills.
+ Strong communication and collaboration skills with cross-functional teams.
**Our Benefits Include:**
+ Highly competitive salary
+ Group pension scheme - Contribution rates are (1.5% / 3%/ 5%/ 7%) and company will match
+ Private Medical Insurance for the employee (Irish Life)
+ Ongoing opportunities for career development in a rapidly expanding work environment
+ Succession planning and internal promotions
+ Education allowance
+ Wellness activities - Social activities eg. Padel, Summer Events
We understand that self-doubt can hold talented individuals back from applying for opportunities. We encourage everyone who meets the qualifications to apply - we're excited to hear from you
#LI-FD1
**Location: Grange Castle International Business Park, Grange, Co. Dublin, D22 K2R3 ( more about Grifols
**Req ID:**
**Type:** Regular Full-Time
**Job Category:**
This advertiser has chosen not to accept applicants from your region.
4
Data Architect
Galway, Connacht
Reperio Human Capital Ltd
Posted today
Job Viewed
Job Description
Data Architect Location: Galway Salary: € Hybrid My client is on the lookout for an experienced Data Architect to join their fast-growing team in Galway. The successful candidate will design and oversee the structure of their data platforms, ensuring they are robust, efficient, and future-ready. You'll play a central role in shaping the collection, storage, integration and use of data across the business. This is a fantastic opportunity to make a tangible impact on their data strategy and enable advanced analytics, AI, and business intelligence initiatives. Requirements: 7+ years of experience as a Data Architect or in a similar lead/senior data engineering role. Strong expertise in Azure Synapse Analytics, Azure Data Lake, Azure Databricks, Data Factory, and Cosmos DB. Proficiency in SQL and familiarity with data transformation frameworks (PySpark, T-SQL). Solid understanding of data governance, data quality, and compliance (GDPR, ISO, etc.). Experience with CI/CD and Infrastructure-as-Code (e.g., ARM templates, Bicep, Terraform). Excellent problem-solving skills and ability to align technical solutions with business goals. Strong communication and stakeholder management skills. Benefits: Pension Health and dental plans Bonus Stock options Flexible hybrid working model If this role as a Data Architect interests and suits you, then apply using the link below. If you require any further information, get in touch with Jamie Sadlier at Reperio. Reperio Human Capital acts as an Employment Agency and an Employment Business. Skills: Data Architect Azure SQL CI/CD Galway Hybrid Benefits: Work From Home
This advertiser has chosen not to accept applicants from your region.
5
Data architect
Galway, Connacht
Reperio Human Capital Ltd
Posted today
Job Viewed
Job Description
Data Architect Location: Galway Salary: € Hybrid My client is on the lookout for an experienced Data Architect to join their fast-growing team in Galway.
The successful candidate will design and oversee the structure of their data platforms, ensuring they are robust, efficient, and future-ready.
You'll play a central role in shaping the collection, storage, integration and use of data across the business.
This is a fantastic opportunity to make a tangible impact on their data strategy and enable advanced analytics, AI, and business intelligence initiatives.
Requirements: 7+ years of experience as a Data Architect or in a similar lead/senior data engineering role.
Strong expertise in Azure Synapse Analytics, Azure Data Lake, Azure Databricks, Data Factory, and Cosmos DB.
Proficiency in SQL and familiarity with data transformation frameworks (Py Spark, T-SQL).
Solid understanding of data governance, data quality, and compliance (GDPR, ISO, etc.).
Experience with CI/CD and Infrastructure-as-Code (e.g., ARM templates, Bicep, Terraform).
Excellent problem-solving skills and ability to align technical solutions with business goals.
Strong communication and stakeholder management skills.
Benefits: Pension Health and dental plans Bonus Stock options Flexible hybrid working model If this role as a Data Architect interests and suits you, then apply using the link below.
If you require any further information, get in touch with Jamie Sadlier at Reperio.
Reperio Human Capital acts as an Employment Agency and an Employment Business.
Skills: Data Architect Azure SQL CI/CD Galway Hybrid Benefits: Work From Home
The successful candidate will design and oversee the structure of their data platforms, ensuring they are robust, efficient, and future-ready.
You'll play a central role in shaping the collection, storage, integration and use of data across the business.
This is a fantastic opportunity to make a tangible impact on their data strategy and enable advanced analytics, AI, and business intelligence initiatives.
Requirements: 7+ years of experience as a Data Architect or in a similar lead/senior data engineering role.
Strong expertise in Azure Synapse Analytics, Azure Data Lake, Azure Databricks, Data Factory, and Cosmos DB.
Proficiency in SQL and familiarity with data transformation frameworks (Py Spark, T-SQL).
Solid understanding of data governance, data quality, and compliance (GDPR, ISO, etc.).
Experience with CI/CD and Infrastructure-as-Code (e.g., ARM templates, Bicep, Terraform).
Excellent problem-solving skills and ability to align technical solutions with business goals.
Strong communication and stakeholder management skills.
Benefits: Pension Health and dental plans Bonus Stock options Flexible hybrid working model If this role as a Data Architect interests and suits you, then apply using the link below.
If you require any further information, get in touch with Jamie Sadlier at Reperio.
Reperio Human Capital acts as an Employment Agency and an Employment Business.
Skills: Data Architect Azure SQL CI/CD Galway Hybrid Benefits: Work From Home
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Data intern Jobs in Ireland !
6
Data Center Technician, Data Center Ops
Dublin, Leinster
Amazon
Posted today
Job Viewed
Job Description
Description
This role is a unique opportunity to work in some of the most cutting edge data centers in the world. Amazon data centers are large-scale high-density centers where you will be working on changing the face of Cloud technology in the region.
A Data Center Technician will work as part of the Operations team whose primary responsibility is the maintenance and upkeep of the data center infrastructure. The candidate may be the primary point of contact for both internal customers (for example: Network Engineers, Systems Engineers, Software Developers, Database Engineers, Technical Operations) and external customers (Hardware Vendors, Contractors, Service Providers among others). The position is full time and shift based, operating on a 24*7 rotation. The ideal candidate is someone with hands-on hardware experience.
Responsibilities:
· Work and meet SLA's against assigned trouble tickets via a directed workflow
· First line touch point for hardware troubleshooting and technical issues
· Perform regular server hardware repairs(drives, motherboards etc)
· Carry out routine network, server hardware and OS related repairs
· Work with cross-functional teams on a regular basis to complete routine work
· Engage with Smart Hands in EU Regional POPs
· Adhere to security and safety best practices in the data center
· Participate in Data Center power & cooling events
· Participate in team meetings for metric analysis and daily/weekly goals achievement
· Identify and help create documentation for use globally
· Identify and help create process improvements relevant to the data center environment
· Perform server upgrades, rebuilds, scheduled works as required
· Interact with third party vendors & contractors
· Contribute to the development of other team members
Key job responsibilities
AWS Infrastructure Services (AIS)
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
· Work and meet SLA's against assigned trouble tickets via a directed workflow
· First line touch point for hardware troubleshooting and technical issues
· Perform regular server hardware repairs(drives, motherboards etc)
· Carry out routine network, server hardware and OS related repairs
· Work with cross-functional teams on a regular basis to complete routine work
· Engage with Smart Hands in EU Regional POPs
· Adhere to security and safety best practices in the data center
· Participate in Data Center power & cooling events
· Participate in team meetings for metric analysis and daily/weekly goals achievement
· Identify and help create documentation for use globally
· Identify and help create process improvements relevant to the data center environment
· Perform server upgrades, rebuilds, scheduled works as required
· Interact with third party vendors & contractors
· Contribute to the development of other team members
. Knowledge of Linux Operating Systems and Commands
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Basic Qualifications
- High school or equivalent diploma
- Experience with computer hardware troubleshooting and repair
- Experience in networking
Preferred Qualifications
- Experience dealing effectively with customers during problem resolution and operating efficiently under pressure
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This role is a unique opportunity to work in some of the most cutting edge data centers in the world. Amazon data centers are large-scale high-density centers where you will be working on changing the face of Cloud technology in the region.
A Data Center Technician will work as part of the Operations team whose primary responsibility is the maintenance and upkeep of the data center infrastructure. The candidate may be the primary point of contact for both internal customers (for example: Network Engineers, Systems Engineers, Software Developers, Database Engineers, Technical Operations) and external customers (Hardware Vendors, Contractors, Service Providers among others). The position is full time and shift based, operating on a 24*7 rotation. The ideal candidate is someone with hands-on hardware experience.
Responsibilities:
· Work and meet SLA's against assigned trouble tickets via a directed workflow
· First line touch point for hardware troubleshooting and technical issues
· Perform regular server hardware repairs(drives, motherboards etc)
· Carry out routine network, server hardware and OS related repairs
· Work with cross-functional teams on a regular basis to complete routine work
· Engage with Smart Hands in EU Regional POPs
· Adhere to security and safety best practices in the data center
· Participate in Data Center power & cooling events
· Participate in team meetings for metric analysis and daily/weekly goals achievement
· Identify and help create documentation for use globally
· Identify and help create process improvements relevant to the data center environment
· Perform server upgrades, rebuilds, scheduled works as required
· Interact with third party vendors & contractors
· Contribute to the development of other team members
Key job responsibilities
AWS Infrastructure Services (AIS)
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
· Work and meet SLA's against assigned trouble tickets via a directed workflow
· First line touch point for hardware troubleshooting and technical issues
· Perform regular server hardware repairs(drives, motherboards etc)
· Carry out routine network, server hardware and OS related repairs
· Work with cross-functional teams on a regular basis to complete routine work
· Engage with Smart Hands in EU Regional POPs
· Adhere to security and safety best practices in the data center
· Participate in Data Center power & cooling events
· Participate in team meetings for metric analysis and daily/weekly goals achievement
· Identify and help create documentation for use globally
· Identify and help create process improvements relevant to the data center environment
· Perform server upgrades, rebuilds, scheduled works as required
· Interact with third party vendors & contractors
· Contribute to the development of other team members
. Knowledge of Linux Operating Systems and Commands
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Basic Qualifications
- High school or equivalent diploma
- Experience with computer hardware troubleshooting and repair
- Experience in networking
Preferred Qualifications
- Experience dealing effectively with customers during problem resolution and operating efficiently under pressure
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
7
Data Center Technician, Data Center Ops
Dublin, Leinster
Amazon
Posted today
Job Viewed
Job Description
Description
This role is a unique opportunity to work in some of the most cutting edge data centers in the world. Amazon data centers are large-scale high-density centers where you will be working on changing the face of Cloud technology in the region.
A Data Center Technician will work as part of the Operations team whose primary responsibility is the maintenance and upkeep of the data center infrastructure. The candidate may be the primary point of contact for both internal customers (for example: Network Engineers, Systems Engineers, Software Developers, Database Engineers, Technical Operations) and external customers (Hardware Vendors, Contractors, Service Providers among others). The position is full time and shift based, operating on a 24*7 rotation. The ideal candidate is someone with hands-on hardware experience.
Responsibilities:
· Work and meet SLA's against assigned trouble tickets via a directed workflow
· First line touch point for hardware troubleshooting and technical issues
· Perform regular server hardware repairs(drives, motherboards etc)
· Carry out routine network, server hardware and OS related repairs
· Work with cross-functional teams on a regular basis to complete routine work
· Engage with Smart Hands in EU Regional POPs
· Adhere to security and safety best practices in the data center
· Participate in Data Center power & cooling events
· Participate in team meetings for metric analysis and daily/weekly goals achievement
· Identify and help create documentation for use globally
· Identify and help create process improvements relevant to the data center environment
· Perform server upgrades, rebuilds, scheduled works as required
· Interact with third party vendors & contractors
· Contribute to the development of other team members
Key job responsibilities
AWS Infrastructure Services (AIS)
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
· Work and meet SLA's against assigned trouble tickets via a directed workflow
· First line touch point for hardware troubleshooting and technical issues
· Perform regular server hardware repairs(drives, motherboards etc)
· Carry out routine network, server hardware and OS related repairs
· Work with cross-functional teams on a regular basis to complete routine work
· Engage with Smart Hands in EU Regional POPs
· Adhere to security and safety best practices in the data center
· Participate in Data Center power & cooling events
· Participate in team meetings for metric analysis and daily/weekly goals achievement
· Identify and help create documentation for use globally
· Identify and help create process improvements relevant to the data center environment
· Perform server upgrades, rebuilds, scheduled works as required
· Interact with third party vendors & contractors
· Contribute to the development of other team members
. Knowledge of Linux Operating Systems and Commands
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Basic Qualifications
- High school or equivalent diploma
- Experience with computer hardware troubleshooting and repair
- Experience in networking
Preferred Qualifications
- Experience dealing effectively with customers during problem resolution and operating efficiently under pressure
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This role is a unique opportunity to work in some of the most cutting edge data centers in the world. Amazon data centers are large-scale high-density centers where you will be working on changing the face of Cloud technology in the region.
A Data Center Technician will work as part of the Operations team whose primary responsibility is the maintenance and upkeep of the data center infrastructure. The candidate may be the primary point of contact for both internal customers (for example: Network Engineers, Systems Engineers, Software Developers, Database Engineers, Technical Operations) and external customers (Hardware Vendors, Contractors, Service Providers among others). The position is full time and shift based, operating on a 24*7 rotation. The ideal candidate is someone with hands-on hardware experience.
Responsibilities:
· Work and meet SLA's against assigned trouble tickets via a directed workflow
· First line touch point for hardware troubleshooting and technical issues
· Perform regular server hardware repairs(drives, motherboards etc)
· Carry out routine network, server hardware and OS related repairs
· Work with cross-functional teams on a regular basis to complete routine work
· Engage with Smart Hands in EU Regional POPs
· Adhere to security and safety best practices in the data center
· Participate in Data Center power & cooling events
· Participate in team meetings for metric analysis and daily/weekly goals achievement
· Identify and help create documentation for use globally
· Identify and help create process improvements relevant to the data center environment
· Perform server upgrades, rebuilds, scheduled works as required
· Interact with third party vendors & contractors
· Contribute to the development of other team members
Key job responsibilities
AWS Infrastructure Services (AIS)
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
· Work and meet SLA's against assigned trouble tickets via a directed workflow
· First line touch point for hardware troubleshooting and technical issues
· Perform regular server hardware repairs(drives, motherboards etc)
· Carry out routine network, server hardware and OS related repairs
· Work with cross-functional teams on a regular basis to complete routine work
· Engage with Smart Hands in EU Regional POPs
· Adhere to security and safety best practices in the data center
· Participate in Data Center power & cooling events
· Participate in team meetings for metric analysis and daily/weekly goals achievement
· Identify and help create documentation for use globally
· Identify and help create process improvements relevant to the data center environment
· Perform server upgrades, rebuilds, scheduled works as required
· Interact with third party vendors & contractors
· Contribute to the development of other team members
. Knowledge of Linux Operating Systems and Commands
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Basic Qualifications
- High school or equivalent diploma
- Experience with computer hardware troubleshooting and repair
- Experience in networking
Preferred Qualifications
- Experience dealing effectively with customers during problem resolution and operating efficiently under pressure
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
8
Cyber Data Engineering & Data Operations Leader
Dublin, Leinster
Marsh McLennan
Posted today
Job Viewed
Job Description
We are seeking a talented individual to join our Cyber Data Engineering & Data Operations team at Marsh. This role will be based in Dublin, Ireland. This is a hybrid role that has a requirement of working at least three days a week in the office. This role oversees the strategic development and execution of advanced analytics and machine learning initiatives to drive business growth and operational efficiency. The Cyber Data Engineering & Data Operations Leader collaborates closely with cross-functional leaders to identify high-impact opportunities, transform data into actionable insights, and develop predictive models that inform decision-making. We will count on you to: Lead the design, development, and deployment of data solutions for the global Cyber practice to support new product development, research and development, insights / thought leadership, and reporting. Manage complex projects with direct reporting to senior management, ensuring alignment with business objectives and delivering measurable impact on product development, operational efficiency, and data monetization. Act as lead and mentor for a global team of direct and indirect reports performing data engineering and related data services, including establishing best practices, code reviews, and quality assurance standards. Collaborate with cross-functional teams across Marsh / MMC-including data scientists, product managers, and stakeholders-to optimize data collection, analysis, and monetization strategies. Define and implement reference architecture and data flow processes, ensuring efficient data management across organizational systems and transitions. Establish and enforce data governance, metadata management, and data quality standards to ensure data integrity, lineage, and compliance. What you need to have: Proven experience in leading data engineering and data science teams, with a strong understanding of advanced analytics and machine learning. Expertise in designing and implementing data solutions, including data pipelines and machine learning models. Excellent communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Strong analytical and problem-solving skills, with a focus on delivering actionable insights and driving business performance. What makes you stand out: Experience with data governance, data quality assurance, and ethical AI practices. A track record of driving innovation by evaluating, developing, and integrating new datasets to develop new revenue-generating products. Knowledge of emerging data technologies and trends, with the ability to recommend tools and practices to enhance organizational data capabilities. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. #CyberJobs #TechLeadership #DigitalInnovation #CyberRisk #DublinJobs #TechJobsIreland #CyberDigitalData Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, Traveller community, or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable support to any candidate with a disability/health condition to allow them to fully participate in the recruitment process. We welcome candidates to contact us at to discuss any specific needs. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person. To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process, click the Apply button below to Login/Register.
This advertiser has chosen not to accept applicants from your region.
9