40 Data Engineer jobs in Ireland
Data Engineer
Posted 2 days ago
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Data Engineer
Posted 11 days ago
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Overview We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. Our team within Client's: The Services org is a key differentiator for Client's, providing the cutting-edge services that are used by some of the world's largest organizations to make multi-million dollar decisions and grow their businesses. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services.
RequirementsAdvanced Analytics Program: Within the Services Technology Team, the Advanced Analytics program is a relatively new program that is comprised of a rich set of products that provide accurate perspectives on Credit Risk, Portfolio Optimization, and Ad Insights. Currently, we are enhancing our customer experience with new user interfaces, moving to API and web application-based data publishing to allow for seamless integration in other Client's products and externally, utilizing new data sets and algorithms to further analytic capabilities, and generating scalable big data processes. 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. Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. The range of work you will encounter varies from building intuitive, responsive UIs to designing backend data models, architecting data flows, and beyond. There are no rigid organizational structures, and each team uses processes that work best for its members and projects. Here are a few examples of products in our space: • Portfolio Optimizer (PO) is a solution that leverages Client's data assets and analytics to allow issuers to identify and increase revenue opportunities within their credit and debit portfolios. • Audiences uses anonymized and aggregated transaction insights to offer targeting segments that have a high likelihood to make purchases within a category to allow for more effective campaign planning and activation. • Credit Risk products are a new suite of APIs and tooling to provide lenders real-time access to KPIs and insights serving thousands of clients to make smarter risk decisions using Client's data. Help found a new, fast-growing engineering team! Position Responsibilities: As a Data Engineer within the 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 Data bricks/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
Senior Data Engineer

Posted 2 days ago
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In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum. As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive.
As a **Senior Data Engineer,** you will be working on developing and maintaining data pipelines that extract, transform, and load (ETL) data from various sources into a centralized data storage system, such as a data warehouse or data lake. Ensure the smooth flow of data from source systems to destination systems while adhering to data quality and integrity standards. In addition to having impact on a great team, you'll also discover the career opportunities you'd expect from an Industry Leader.
**Schedule** : Full-time position with standard working hours of Monday - Friday, 9am - 5pm.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny office and telecommuting from a home-based office in a hybrid work model._
**Primary Responsibilities:**
+ Data Integration: Integrate data from multiple sources and systems, including databases, APIs, log files, streaming platforms, and external data providers. Handle data ingestion, transformation, and consolidation to create a unified and reliable data foundation for analysis and reporting
+ Data Transformation and Processing: Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare the data for analysis, reporting, or machine learning tasks
+ Contribute to common frameworks and best practices in code development, deployment, and automation/orchestration of data pipelines
+ Implement data governance in line with company standards
+ Partner with Data Analytics and Product leaders to design best practices and standards for developing and productional analytic pipelines
+ Partner with Infrastructure leaders on architecture approaches to advance the data and analytics platform, including exploring new tools and techniques that leverage the cloud environment (Azure, Snowflake, others)
+ Monitoring and Support: Monitor data pipelines and data systems to detect and resolve issues promptly. Develop monitoring tools, alerts, and automated error handling mechanisms to ensure data integrity and system reliability
_You will be rewarded and recognised for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in._
**Required Qualifications:**
+ Bachelor's Degree (or higher) in Database Management, Information Technology, Computer Science or similar
+ Extensive experience designing data solutions including data modeling. Data Architecture experience is a plus
+ Extensive hands-on experience developing data processing jobs (PySpark / SQL) that demonstrate a strong understanding of software engineering principles
+ Experience orchestrating data pipelines using technology like ADF, Airflow etc.
+ Well versed in Python regarding data manipulation, cleaning, transforming, and analyzing structured data to support our data-driven initiatives
+ Experience with Snowflake
+ Fluent in SQL (any flavor), with experience using Window functions and more advanced features
+ Experience of DevOps tools, Git workflow and building CI/CD pipelines
+ Experience applying data governance controls within a highly regulated environment
**Preferred Qualifications:**
+ Proven Data Engineering experience
+ Familiarity with framework & libraries such as snowpark
+ Experience working in projects with agile/scrum methodologies
+ Experience with Azure Databricks
+ Familiarity with production quality ML and/or AI model development and deployment
**Soft Skills:**
+ Ability to communicate effectively with users and able to understand new required changes
+ A motivated self-starter who excels at managing their own tasks and takes ownership
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
_All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy._
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveler community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2025 Optum Services (Ireland) Limited. All rights reserved._
#RPO #BBMEMEA
Senior Data Engineer

Posted 2 days ago
Job Viewed
Job Description
In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum. As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive.
As a **Senior Data Engineer** you will be working on developing and maintaining data pipelines that extract, transform, and load (ETL) data from various sources into a centralized data storage system, such as a data warehouse or data lake. Ensure the smooth flow of data from source systems to destination systems while adhering to data quality and integrity standards. In addition to having impact on a great team, you'll also discover the career opportunities you'd expect from an Industry Leader.
**Schedule:** Full-time position with standard working hours of Monday - Friday, 9am - 5pm.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny office and telecommuting from a home-based office in a hybrid work model._
**Primary Responsibilities:**
+ Data Integration: Integrate data from multiple sources and systems, including databases, APIs, log files, streaming platforms, and external data providers. Handle data ingestion, transformation, and consolidation to create a unified and reliable data foundation for analysis and reporting
+ Data Transformation and Processing: Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare the data for analysis, reporting, or machine learning tasks
+ Contribute to common frameworks and best practices in code development, deployment, and automation/orchestration of data pipelines
+ Implement data governance in line with company standards
+ Partner with Data Analytics and Product leaders to design best practices and standards for developing and productionizing analytic pipelines
+ Partner with Infrastructure leaders on architecture approaches to advance the data and analytics platform, including exploring new tools and techniques that leverage the cloud environment (Azure, Snowflake, others)
+ Monitoring and Support: Monitor data pipelines and data systems to detect and resolve issues promptly. Develop monitoring tools, alerts, and automated error handling mechanisms to ensure data integrity and system reliability
_You will be rewarded and recognised for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in._
**Required Qualifications:**
+ Bachelor's Degree (or higher) in Database Management, Information Technology, Computer Science or similar
+ Proven experience designing data solutions, including data modelling
+ Hands-on experience in data processing using PySpark and SQL
+ Experience with orchestration tools like Azure Data Factory or Airflow
+ Fluent in SQL, including advanced functions and window operations
+ Demonstrated experience with DevOps tools and CI/CD pipelines
+ Experience applying data governance controls in regulated environments
+ Well versed in Python regarding data manipulation, cleaning, transforming, and analyzing structured data to support our data-driven initiatives
**Preferred Qualifications:**
+ Proven Data Engineering experience
+ A motivated self-starter who excels at managing their own tasks and takes ownership
+ Experience working in projects with agile/scrum methodologies
+ Experience with Azure Databricks and Snowflake
+ Familiarity with production quality ML and/or AI model development and deployment
**Soft Skills:**
+ Effective communication skills and the ability to understand and adapt to changing requirements
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
_All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy._
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2025 Optum Services (Ireland) Limited. All rights reserved._
#RPO #BBMRAQ
Quantitative Data Engineer
Posted 3 days ago
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Senior Data Engineer
Posted 9 days ago
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Senior Data Engineer
Posted 9 days ago
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Senior Data Engineer
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Senior Data Engineer
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AWS Data Engineer
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