Capgemini
Data Engineer
CapgeminiIreland20 days ago
Full-timeInformation Technology
At Sogeti, we believe the best is inside every one of us. Whether you are early in your career or at the top of your game, we’ll encourage you to fulfill your potential to be better. Through our shared passion for technology, our entrepreneurial culture , and our focus on continuous learning, we’ll provide everything you need to do your best work and become the best you can be.  

YOUR ROLE

We are seeking a skilled Data Engineer to join our team, responsible for integrating and transforming data from diverse sources into a central data warehouse optimised for analytics and insights. This role involves delivering end-to-end data projects, collaborating with analysts to support decision-making, ensuring compliance with data governance and privacy standards, and providing technical support for data systems. The ideal candidate will also contribute to enhancing internal capabilities through documentation, knowledge sharing, and continuous improvement initiatives.

Key Responsibilities Of The Role

  • Integrate and transform structured and unstructured data from multiple sources into the data warehouse, optimising for analytics and insights.
  • Deliver end-to-end data projects, including development, testing, deployment, and maintaining technical documentation.
  • Collaborate with data analysts to support insight generation and data-driven decision-making.
  • Ensure compliance with data privacy, security, and regulatory standards in collaboration with IT, Information Security, and Data Protection teams.
  • Provide first and second line support for data systems managed by the Data Analytics and Intelligence Team.
  • Enhance data governance and internal capabilities through SOP development, knowledge sharing, and continuous improvement initiatives.

YOUR PROFILE

  • Strong programming skills in both SQL and Python;
  • Experience working with, and certification in, the Azure suite of tools including, Azure Data Factory, Synapse Analytics, MS Fabric, Power BI and Azure DevOps and integration with GIT
  • Experience with relational data systems and data architecture paradigms (e.g. SQL, NoSQL, Spark, Delta Lakehouse)
  • Strong understanding of data warehouse architecture and development, data quality principles, Agile processes, and DataOps best practices including coding standards, version control, testing, and operations.
  • Experience with enterprise systems and diverse data sources, including SAP ERP, Oracle, MS SQL Server, and on-prem databases (structured and unstructured).

WHAT YOU'LL LOVE ABOUT WORKING HERE?

  • Craft your own career path through continuous learning and personal growth
  • Our commitment to maintain high ethical standards ensuring Diversity, Sustainability and Inclusion in our business practises
  • Be a part of our professional communities role framework which promotes professional growth, career development and enhances Sogeti’s capabilities across different domains

Sogeti Ireland is an equal opportunity employer. We promote equality and dignity in all aspects of recruitment and employment, and all offers of employment and promotions are made on the basis of performance, competence and ability.

We embrace the value of diversity within Sogeti and the entrepreneurial spirit of our people. If you’re looking to join a company with a proven track record of success and that deeply values its people, Sogeti Ireland offers the opportunity for you to grow and advance.

Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.

Key Skills

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