248 Data Solution Designer jobs in Ireland
Data Engineer, People Solutions
Posted today
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Job Description
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About The Team
The Solutions team is on a mission to create an entirely new infrastructure for employee data which scales across all Stripe domains and is the foundation for exciting AI opportunities. Engineers on the People Solutions Engineering team build platforms, data pipelines, and products to enable Stripe's employee experience and insights at scale. The use cases includes build and maintain, analytics and insights, planning & forecasting, business intelligence and the future with AI.
What you'll do
- Design, build, and maintain scaled services, data pipelines, tooling and systems for internal employee data
- Build watertight controls and superior security across pipelines to ensure super high accuracy and maximum privacy
- Partner with other teams on creating limited shared data sets to create one source of truth for data across functions
- Ensure accurate, reliable, and timely data delivered to a single source-of-truth
- Work in a collaborative environment involving different stakeholders and subject matter experts
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. We're looking for people with a strong background or interest in building successful products or systems; you're passionate about solving business problems and making direct impact on customers, you are comfortable in dealing with lots of moving pieces; and you're comfortable learning new technologies and systems.
Minimum Requirements
- 3 - 10 years professional software development experience, including technical leadership of projects across teams or product areas
- Experience designing and implementing solutions to complex data problems
- Have delivered production data systems
- Experience working with sensitive employee data & the security and governance structures associated with it
- Attention to high quality code
Preferred Qualifications
- Experiences with big-data technologies such as Spark, Presto, Kafka, and Flink, and OLAP preferred
In-office expectations
Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.
Pay and benefits
The annual salary range for this role in the primary location is €62,400 - €132,000. This range may change if you are hired in another location. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.
Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant's location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.
Account Manager - Data Centre Solutions
Posted 19 days ago
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Job Description
Job ID
Posted
03-Oct-2025
Service line
GWS Segment
Role type
Full-time
Areas of Interest
Data Centers, Executive Management
Location(s)
Dublin - Dublin - Ireland
**Job Title: Account Manager**
**Business Sector: Data Centre Solutions, Critical Environment**
**Location: Dublin**
**Please ensure to include your CV with your application to be considered for this role.**
**COMPANY PROFILE**
CBRE is the global leader in real estate services and investment. We leverage the industry's most powerful knowledge base to meet the commercial real estate needs of our clients worldwide. Our commitment is to be the preeminent, vertically integrated, and globally capable real estate service firm. With over 70,000 employees globally, we operate in 48 countries.
**Job Purpose**
+ To manage, motivate and develop the on-site Data Centre Critical Environment Operations team in a business critical 24/7/365 operating environment.
+ To manage and develop a professional relationship with the client locally to create a positive customer experience.
+ To deliver a performance level which achieves and goes beyond the KPI's and SLA's set down in the contract with the client.
**Job Summary**
+ Ensure all staff are in compliance with CBRE ethical, financial and QHSE requirements.
+ Lead, motivate and develop the CBRE team on the site and to ensure that the culture and standards on the site are consistent with the culture and standards established by CBRE.
+ Providing leadership, management, and development of the contract, ensuring financial, and operational commitments are met and exceeded.
+ This role is responsible for all strategic and tactical aspects of the FM and Critical Environment operations including, but not limited to, FM, electrical, mechanical, monitoring, control systems & Asset Management operations.
+ To audit and monitor the on-site operations teams efficiency and to develop efficiencies and innovations that benefit the client and CBRE.
**Key Deliverables**
+ Provision of leadership and guidance, advice and direct support where required to deliver best practice - selection, training, assessment, recognition/reward and appraisal systems.
+ Deliver effective business communication through advice, review, leadership and direct contribution to management and team meetings, briefings, consultation forums, correspondence, publicity, monthly and ad-hoc reporting and other publications, as appropriate.
+ Create a learning environment on the site by providing the appropriate training and development planning for each member of CBRE staff.
+ Ensure basic training needs are delivered, employees are fully competent to undertake their roles, and are able to reach their full future potential.
+ Talent; manage staff to ensure an appropriate training plan and career progression is identified.
+ Ensure that across the 2 services we provide for the client at the site that effective and efficient systems are in place to: Plan the work ahead, manage the work daily on the ground, communicate the issues around the work to the key stakeholders and measure our performance at completing work on time and the performance of our staff.
+ Effectively lead management related activities including regular management meetings; development of operational procedures; fostering of good relationships with the client; providing services of the highest standards.
+ Be overall responsible for the day-to-day management of the Data Centre Critical Environment Operations team within the specified sites.
+ Manage annual contract budgets and accounts.
+ Produce site related financial, activity and other statistical information and reports as requested.
+ To provide input into regular management reports and Budget submissions and reviews.
+ Be the point of contact during significant events or multi-discipline technical escalations occurring within the specified sites.
+ As necessary, participate in any business continuity plans the team may be involved in.
+ Ensure data centre operations and CBRE business policies and processes are complied with i.e. effectively communicated, implemented and adhered to within the contract.
+ Ensure the provision of healthy and safe working conditions and that both clients and CBRE health and safety policy's and process is effectively implemented across both CBRE and subcontractors activities and are regularly reviewed.
+ Ensure optimum staffing structures operate across contracts, balancing cost reduction with the delivery of service excellence and equipment reliability and availability.
+ Ensure structures support peaks and troughs in workload and disaster recovery.
+ Ensure post holders are fully competent, and that effective succession planning arrangements are in place, monitoring staff retention rates and ensuring staff training & development plans are produced and implemented.
+ Ensure all absence is fully covered by suitably trained and experienced staff to ensure full 24/7 coverage.
+ Ensure appropriate control systems are in place to ensure statutory, policy and contractual commitments are met.
+ Ensure a customer focus within all areas of operational activities, and that effective relationships are maintained with key client contacts.
+ Ensuring contractually agreed SLA's and KPI's within the Scope of Works (SOW) are met and necessary record retention demonstrating adherence.
+ Plan and schedule all maintenance subcontractors works and repairs.
+ Ensure all accounts and documentation associated with these subcontractors is current and up to date on a monthly basis.
+ Ensure all subcontractors deliver a quality and competent service and that all contractual obligations are met.
+ Reach out to and liaise with global peers to ensure consistency across the accounts and compliance with client standards and best practice.
+ Manage and deliver repairs and minor project works, as required, within the data centre.
+ Promote and maintaining the core Values of CBRE.
+ Develop effective working relationship with all members of CBRE staff and the Client representatives.
+ Ensure the professional image of CBRE is presented to clients and visitors at all times.
+ Provide client and internal presentations via board room meeting format with the aid of suitable visual aids (e.g. PowerPoint).
+ Manage other tasks as directed by senior management team.
+ Accountabilities
+ Reporting to the Account Manager / Area General Manager / Business Unit Leader or Critical Facilities Director.
+ Accountability to the CBRE functional heads, as appropriate.
+ Maintains close working relationships with key client representatives.
+ Reporting directly to this position are all members of the FM and Critical Environment Operations teams.
+ Responsible for all sub-contractors utilised on the contract.
+ Financial responsibility for the full P&L, budgetary forecasting and financial management for accounts.
+ Decision Making/Budgetary Control
+ The Contract Manager has financial accountability for accounts.
**Success Measures**
+ Success will be measured through operational excellence metrics, including but not limited to:
+ Exceptional QHSE compliance and accident record.
+ All customer satisfaction metrics delivered.
+ Sustainable profitable growth.
+ New business developed.
+ A fully recruited, trained team with established succession.
+ Brand recognition throughout the Critical Data Centre market.
+ Person Specification
+ Job Title: Account Manager / Contract Manager Department: Data Centre Solutions
+ Education / Training
+ Excellent general education is essential in electrical, mechanical or equivalent experience.
+ Must be able to demonstrate a career showing continuous personal development with at least two years' or equivalent experience in data centre management.
+ Must be a certified Facility Manager or equivalent.
+ Degree level education in electrical, mechanical or equivalent experience.
**Experience**
+ Managerial experience at Facility Manager or Contract Manager within a critical environment.
+ Must understand all the associated safety code related requirements relative to providing the service.
+ Experience with Health & Safety Risk Assessments and Control Measures.
+ Proven track record of maintaining critical & temperature control conditioned environments.
+ Detailed understanding and experience of the electrical and mechanical systems used in a data center environment, including: Feeders, Transformers, Generators, Fuel Systems, Switchgear, UPS systems, Battery banks, ATS/STS units, PDU/PMM units, Air handling units, chilled water systems, Fire Alarm systems, and Fire Suppression systems (pre-action sprinklers).
+ Prior operations management demonstrable knowledge including team management, work scheduling, and performance reviews.
+ Prior exposure to maintenance scheduling and subcontractor management and supervision.
+ Strong understanding of ticketing or workflow management systems and tools.
+ Proven track record of managing escalation and emergency issues.
+ Proven track record in vendor management, ability to manage and monitor progress to ensure objectives are achieved for outsourced support and projects.
+ Familiarity with ISO/FISMA audit processes and documentation.
+ Practical and demonstrable knowledge must include recruitment and line management/supervisory experience.
+ The development and review of teams, appraisal, and the application of effective people management practice.
+ Proven track record with Project Management principles.
+ Prior experience of managing large scale outsourced contracts.
+ Aptitude
+ Excellent verbal, written and interpersonal communication skills, with the ability to communicate intelligently and effectively with the client, employees and subcontractors.
+ Excellent motivational and influencing skills, with high levels of personal integrity.
+ Numerate and computer literate.
+ Intermediate to advanced software skills - MS Office (Excel, PowerPoint, Word), Visio and Microsoft Project.
**Core Competencies**
+ Understanding customer needs.
+ Responsiveness.
+ Competence to deliver.
+ Accessibility.
+ Communication.
+ Reliability.
+ Managing others.
+ Commercial awareness.
+ Resilience.
**EQUAL OPPORTUNITIES**
CBRE is an equal opportunities employer and is committed to fostering a diverse and inclusive work environment. We do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. All qualified applicants will receive consideration for employment.
**Why CBRE?**
When you join CBRE, you become part of a leading global organization in commercial real estate services and investment, dedicated to helping businesses and people thrive. We are a team of dynamic problem solvers and forward-thinking professionals who create a significant impact in the industry.
Our collaborative culture is built on our shared core values: respect, integrity, service, and excellence. We highly value the diverse perspectives, backgrounds, and skillsets of our people. At CBRE, you will have the opportunity to chart your own course, develop your skills, and realize your full potential. We welcome applications from all qualified candidates.
Applicant AI Use Disclosure
We are committed to understanding each candidate's unique experience, skills, and aspirations. To ensure a genuine evaluation, we do not utilize artificial intelligence (AI) tools to make hiring decisions. We kindly request that candidates disclose any use of AI in the application and interview process to promote transparency and ensure a fair and equitable evaluation.
CBRE, Inc. is an Equal Opportunity and Affirmative Action Employer (Women/Minorities/Persons with Disabilities/US Veterans)
Data Engineer
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The Company:
From our roots in Ireland, CarTrawler has grown into the leading B2B technology provider of car rental and mobility solutions to the global travel industry. If you've ever booked a flight and seen the option to rent a car, that was probably us; but it's our people that make everything we do possible – and we're growing
At CarTrawler, you'll find more than just a job. You'll find flexibility, meaningful impact, and a culture built by the people who live it every day. Our culture is built on high performance, genuine connection, and a shared commitment to making an impact, without sacrificing personal wellbeing. With flexible working models, meaningful time off, and dedicated growth opportunities, we enable people to do great work and feel good doing it.
We have a hybrid working policy with two mandatory days a week in our Dublin office, you have the freedom to design a routine that supports your productivity and personal life. The office offers ample car parking, a heavily subsidized (KC Peaches) canteen, convenient proximity to the Luas, and access to EV charging stations.
Role Purpose:
We are seeking a Data Engineer on a 6 month fixed term contract to develop and maintain our Snowflake data warehouse and data marts, designing and optimizing ETL processes and data models to ensure accuracy and scalability. The role requires strong skills in SQL, Python, and stored procedures, with hands-on use of Snowflake, Airflow MWAA, Soda, and DBT. Working closely with Data Engineering and wider P&T teams, you will build secure, high-performing data solutions that support business-critical initiatives.
Responsibilities & Accountabilities
- Build & Optimize Data Pipelines: Design, construct, and maintain robust, scalable ETL/ELT pipelines using dbt and Airflow to integrate new data sources and manage changes to SQL jobs.
- Troubleshooting issues with existing SQL/ETL processes and data loads to drive to solution.
- Design and build extensible data models and integration solutions using various tools such as Snowflake functionality, Airflow, Soda, DBT, AWS s3.
- Implement and enforce best practices for data quality, testing, and documentation to ensure data is accurate, consistent, and trustworthy.
- Continuously optimize our Snowflake data warehouse, refining data models and architecture to improve query performance, scalability, and cost-efficiency.
Skills & Experience Required
- 3+ years of experience in a Data Engineering or similar role.
- Hands-on experience with building data pipelines, data models and implementing data quality.
- Experience accessing and manipulating structured and semi-structured data(JSON) in various cloud data environments. Any of the following technologies Snowflake, Redshift, Hadoop, Spark, Cloud Storage, AWS, consuming data from APIs.
- Expert proficiency in Python(or scala) for data manipulation and scripting, advanced SQL and database stored procedures for complex querying and data modelling.
- Experience with orchestration and monitoring tools such as Airflow
- Solid understanding of ETL/ELT design patterns, data modelling principles and database architecture.
- Experience of full stack development, implementing continuous integration and automated tests e.g. GitHub, Jenkins
- Proven ability to work creatively and analytically in a fast-paced, problem-solving environment.
- Excellent communication (verbal and written) and interpersonal skills.
- Proven ability to communicate complex analysis in a clear, precise, and actionable manner
Research shows that individuals from underrepresented backgrounds often hesitate to apply for roles unless they meet every single qualification, while others may apply when they meet only a portion of the criteria. If you believe you have the skills and potential to succeed in this role, even if you don't meet every listed requirement, we encourage you to apply. We'd love to hear from you and explore whether you could be a great fit.
Data Engineer
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Data Engineer – Dublin OR London (Hybrid)
Permanent, Full-time Role
€90,000 / £78,000 (approx.) + Benefits
Overview
We are seeking a skilled Data Engineer to join our client's product engineering team, supporting Business Intelligence and Data Science initiatives primarily using AWS technologies. You will collaborate closely with their corporate technology team to build, automate, and maintain AWS infrastructure.
This role requires a highly competent, detail-oriented individual who stays current with evolving data engineering technologies.
Key Responsibilities
- Collaborate with data consumers, producers, and compliance teams to define requirements for data solutions with executive-level impact.
- Design, build, and maintain solutions for Business Intelligence and Data Science on AWS, including:
- Data ingestion pipelines
- ETL/ELT processes (batch and streaming)
- Curated data products
- Integrations with third-party tools
- Support and enhance the data lake, enterprise data catalog, cloud data warehouse, and data processing infrastructure.
- Provision and manage AWS services and infrastructure as code using Amazon CDK.
- Provide input on product/vendor selection, technology strategies, and architectural design.
- Identify and implement improvements to reduce waste, complexity, and redundancy.
- Manage workload efficiently to meet service levels and KPIs.
- Execute incident, problem, and change management processes as required.
Qualifications
- Degree in Information Systems, Computer Science, Statistics, or a related quantitative field.
- 3+ years experience with Spark in production environments, handling batch and stream processing jobs. Exposure to Ray is advantageous.
- 3+ years experience with cloud data warehousing tools such as Snowflake, Redshift, BigQuery, or ClickHouse.
- Expert SQL skills, with exposure to HiveQL.
- Proficiency in Java, Scala, Python, and Typescript programming.
- Strong understanding of AWS security mechanisms, particularly relating to S3, Kinesis, EMR, Glue, and LakeFormation.
- Experience with GitHub, DataDog, and AWS.
- Proven ability to learn and apply open-source tools independently.
- Strong ownership mindset and proactive approach.
Data Engineer
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We are seeking a highly skilled
Azure Data Engineer with strong experience in Dynamics 365
to join our team and support the delivery of our Dynamics 365 implementation. The ideal candidate will have extensive experience in Azure and Azure Data Factory and a strong background in integrating systems using various technologies and patterns. This role involves creating API interfaces using Azure Integration Services and integrating with Dynamics 365, leveraging Dataflows, ODATA, and other patterns.
Key Responsibilities:
- Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF), including mapping data flows and parameterized pipelines.
- Integrate with Microsoft Dataverse and Dynamics 365 using ADF's native connectors, OData endpoints, and REST APIs.
- Collaborate with cross-functional teams to understand integration requirements and deliver robust solutions.
- Develop and optimise dataflows for transformation logic, including column reduction, lookups, and upsert strategies
- Implement delta load strategies and batch endpoints to manage large-scale data synchronisation efficiently
- Ensure data consistency and integrity across systems by leveraging unique identifiers and business keys.
- Collaborate with business analysts and architects to translate business requirements into technical solutions.
- Monitor, troubleshoot, and optimise pipeline performance using ADF's built-in diagnostics and logging tools.
- Contribute to data governance, security, and compliance by implementing best practices in access control and data handling.
- Collaborate on the development of new standards and practices to improve the quality, capability, and velocity of the team.
- Mentoring and coaching of junior team members new to Azure to ensure that the team builds up a strong capability
Requirements:
- ADF Expertise. Proficient in building pipelines, triggers, and mapping dataflows. Experience with parameterisation, error handling, and pipeline orchestration
- OData & API Integration. Strong understanding of the OData protocol. Experience integrating with REST APIs
- Dataverse & Dynamics 365. Hands-on experience with Dataverse schema, connector configuration, and data model mapping. Familiarity with D365 entity relationships
- Data Modelling. Understanding of conceptual, logical, and physical data models.
- SQL & Scripting. Strong SQL skills for data extraction and transformation
- Testing & Automation. Experience with end-to-end testing of data pipelines and automation of data validation processes
- Documentation & Collaboration. Ability to document data flows, transformation logic, and integration patterns. Strong communication skills for cross-functional collaboration.
- Azure Developer certification is highly desirable.
- Excellent problem-solving skills and the ability to work collaboratively in a team environment.
- Dynamics 365 experience is a must
Data Engineer
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Role Description
The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures that enable efficient data collection, processing, and analysis. This role ensures that high-quality, reliable data is available to support business intelligence, analytics, and machine learning initiatives. The ideal candidate is technically strong, detail-oriented, and passionate about building robust data systems that transform raw data into actionable insights.
Key Responsibilities
- Design, develop, and optimize data pipelines, ETL/ELT processes, and workflows for structured and unstructured data.
- Build and maintain scalable data architectures that support data warehousing, analytics, and reporting needs.
- Integrate data from multiple sources such as APIs, databases, and third-party systems into centralized data platforms.
- Collaborate with data analysts, data scientists, and business teams to understand data requirements and ensure data accuracy and availability.
- Develop and enforce best practices for data governance, security, and quality assurance.
- Monitor, troubleshoot, and optimize data processes for performance and cost efficiency.
- Implement data validation, cleansing, and transformation procedures to maintain data integrity.
- Work with cloud platforms (e.g., AWS, Azure, GCP) to manage data storage, orchestration, and automation tools.
- Create and maintain documentation for data models, data flow diagrams, and pipeline configurations.
- Support the development of analytics and machine learning pipelines by providing clean and well-structured datasets.
- Collaborate with DevOps teams to deploy, scale, and maintain data infrastructure in production environments.
- Continuously improve data engineering practices through automation, monitoring, and innovation.
- Stay updated on emerging technologies and trends in data architecture, big data, and cloud computing.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field.
- 2–5 years of experience in data engineering, data warehousing, or database development.
- Strong proficiency in SQL and at least one programming language (Python, Java, or Scala preferred).
- Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow, dbt, or Talend).
- Experience with big data technologies such as Spark, Hadoop, or Kafka.
- Familiarity with cloud-based data services (AWS Redshift, Google BigQuery, Azure Synapse, or Snowflake).
- Solid understanding of data modeling, schema design, and database management (relational and NoSQL).
- Knowledge of APIs, data integration, and data streaming methodologies.
- Strong problem-solving, analytical, and debugging skills.
- Excellent collaboration and communication abilities to work cross-functionally.
- Experience with containerization tools (Docker, Kubernetes) and CI/CD pipelines is a plus.
- Commitment to building efficient, scalable, and reliable data systems that support business growth.
Data Engineer
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Data Engineer - Flexible Working
Permanent | Hybrid | Dublin
€50,000 - €0,000 DOE
TechHeads is excited to bring you a new opportunity for a Data Engineer to join a growing team within a forward-thinking organisation that values collaboration, innovation, and continuous improvement.
In this position, you will be responsible for gathering requirements from stakeholders and building complex and scalable reports that will be used by users throughout the organisation. You will work with modern tools such as, Power BI, DAX, Azure and more, allowing you to develop your technical skillset with industry relevant tech.
This fulltime role, based in Dublin, will give you the opportunity to join an employee focused organisation. They support a flexible working model of 2 days onsite as well as a culture of internal progression, offering you excellent work-life balance and growth potential.
If you're looking for an impactful role where you can work with flexibility and modern technologies, this role is for you
Required:
- 2+ years experience developing interactive dashboards and reports in Power BI.
- 2+ years experience working SQL.
- Experience working with DAX for creating measures, calculated columns, and complex business logic.
- Experience with ETL or any Data Engineering related activities.
- Experience implementing security and RLS in Power BI and Azure.
- Strong analytical and problem-solving skills.
Salary: ,000 - ,000 DOE
Benefits: Pension, Flexible Working and more
If you would like to be considered for this position, please share a copy of your updated CV to
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Data Engineer
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Data Engineer – 6 Month Contract, Hybrid, Dublin
What's Involved
- Build and maintain data pipelines using Snowflake.
- Optimise Snowflake architecture and models for performance and scalability.
- Translate business requirements into technical solutions in collaboration with analysts and architects.
- Implement data governance, access control, and security best practices.
- Monitor, troubleshoot, and fine-tune pipeline performance using ADF and Snowflake tools.
- Document data flows, transformations, and integrations clearly and consistently.
- Mentor and support junior engineers in data engineering best practices.
What's Needed
- 7+ years' experience in data engineering or integration roles.
- Strong Snowflake and SQL Server skills for data design and optimisation.
- Proven ability with ADF pipelines, including parameterisation and error handling.
- Solid grasp of data modelling and modern data-warehouse design.
- Experience with data testing, automation, and validation.
- Strong collaboration and documentation skills.
- Snowflake or Azure Data Engineer certification preferred.
Data Engineer
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Data Engineer
Permanent
Dublin/Hybrid
Requirements
We are looking for an innovative data engineer who will lead the technical design and development of an Analytic Foundation. The Analytic Foundation is a suite of individually commercialized analytical capabilities that also includes a comprehensive data platform. These services will be offered through a series of APIs that deliver data and insights from various points along a central data store. This individual will partner closely with other areas of the business to build and enhance solutions that drive value for our customers.
Position Responsibilities:
As a Data Engineer within Advanced Analytics team, you will:
• Play a large role in the implementation of complex features
• Push the boundaries of analytics and powerful, scalable applications
• Build and maintain analytics and data models to enable performant and scalable products
• Ensure a high-quality code base by writing and reviewing performant, well-tested code
• Mentor junior engineers and teammates
• Drive innovative improvements to team development processes
• Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features
• Collaborate across teams with exceptional peers who are passionate about
what they do
Ideal Candidate Qualifications:
• 4+ years of full stack engineering experience in an agile production environment
• Experience leading the design and implementation of large, complex features in full-stack applications
• Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it
• Experience leveraging open source tools, predictive analytics, machine learning, Advanced Statistics, and other data techniques to perform analyses
• High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms
• Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting
• Experience in cloud technologies like Databricks/AWS/Azure
• Strong technologist with proven track record of learning new technologies and frameworks
• Customer-centric development approach
• Passion for analytical / quantitative problem solving
• Experience identifying and implementing technical improvements to development processes
• Collaboration skills with experience working with people across roles and geographies
• Motivation, creativity, self-direction, and desire to thrive on small project teams
• Superior academic record with a degree in Computer Science or related technical field
• Strong written and verbal English communication skills
Data Engineer
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Data Engineer
Dublin | Hybrid
€60,000 - €65,000 per annum
Is this the Data Engineer role for you?
Crone Corkill are assisting a consultancy as they look to add a Data Engineer to the team in order to work with one of their premier clients on a permanent basis.
Working with a newly formed analytics team, you'll play a key part in the technical design and development of the foundation, with the analytical capabilities also including their data platform. This will be offered through APIs that deliver data/insights from points across the data store, and you'll partner with cross-functional teams.
What will you do as a Data Engineer?
- Build and maintain analytics and data models to enable performant and scalable products
- Ensure a high-quality code base by writing and reviewing well tested code
- Partner with Product Managers and Designers to develop a deeper understanding of users & use cases
- Applying use case knowledge to scope and build new modules/features
What skills do you need as a Data Engineer?
- Full Stack engineering within an Agile production environment experience
- Building & deploying production level data driven applications and data processing workflows at scale via Python, Java, Scala etc
- Delivering data ingestion, feature engineering, modelling and tuning analytics
- Python or Scala expertise
- Hadoop platforms and tools, such as Hive, Impala, Airflow, NiFi and Scoop
- SQL to build Big Data products/platforms
- Experience with the likes of Databricks, AWS or Azure
- Leveraging open source tools, predictive analytics and ML