Data Engineer

We are seeking experienced Data Engineers to join our growing team within a large, long-standing public-sector partnership. In this pivotal role, you will contribute to data acquisition, preparation and management projects, helping to modernise services and deliver secure, reliable data products at scale. This is an exciting opportunity to shape engineering design, grow capability across our teams, and deliver real value for our clients.

Your role

• Design and implement robust, secure and performant data integration solutions (batch and/or near-real-time).
• Build, operate and improve data pipelines (ingestion, transformation, curation) with monitoring, alerting and SLAs.
• Collaborate with product teams and client stakeholders to refine requirements and align decisions to NFRs (cost, performance, security).
• Support incident resolution and ensure service continuity.
• Share knowledge, mentor colleagues, and contribute to Capgemini's engineering communities of practice.
• Actively participate in Agile ceremonies and work cross-functionally with engineers, analysts and business teams.

• Strong SQL and hands-on experience with data modelling.
• Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS).
• Experience with databases/data platforms (ideally Oracle or Cloudera).
• Knowledge of cloud platforms (ideally AWS).
• Good experience with programming/scripting languages (e.g. Python, Bash).
• Strong grasp of data engineering fundamentals, including integration, transformation, orchestration, and version control.
• Excellent client-facing and consultancy skills., To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.