Secure Data Engineer

As a Data Engineer at Capgemini, you'll design, build and operate reliable, scalable data pipelines and data products: the trusted foundations that power analytics, AI, GenAI and increasingly agentic systems. You'll work hands-on with modern data engineering tooling and cloud services to ingest, transform and serve data, and you'll prepare and govern the datasets that AI models and AI agents depend on to behave safely and correctly.

You'll also use AI-assisted engineering to accelerate your own delivery, while keeping clear human ownership of every outcome.

As a Data Engineer at Capgemini, you'll design, build and operate reliable, scalable data pipelines and data products: the trusted foundations that power analytics, AI, GenAI and increasingly agentic systems. You'll work hands-on with modern data engineering tooling and cloud services to ingest, transform and serve data, and you'll prepare and govern the datasets that AI models and AI agents depend on to behave safely and correctly.

You'll also use AI-assisted engineering to accelerate your own delivery, while keeping clear human ownership of every outcome.

You'll be part of the Data Platforms team within the Insights and Data Global Practice, which has seen strong, sustained growth across a wide range of sectors. Data Platforms is home to Data Engineers, Platform Engineers, Solution Architects and Business Analysts driving our customers' digital and data transformation on modern cloud platforms. We specialise in the latest frameworks, reference architectures and technologies across AWS, Azure and GCP, and data platforms such as Databricks and Snowflake.

To be successfully appointed to this role, must be eligible to obtain Security Check (SC) clearance or DV (Developed Vetting clearance). 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. Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.

Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.

We're looking for a code-first Data Engineer to design and build scalable, resilient data applications for Defence customers. This role sits at the intersection of software engineering and data engineering, working on mission-critical systems where reliability, security and auditability are essential.

You'll build data applications that process high-volume, high-velocity data, orchestrate complex workflows, and deploy your own solutions into secure containerised environments. You'll work across the full lifecycle, from development through to production, shaping architectures that support operational users, analytics and AI-enabled capabilities. Increasingly that includes GenAI and agentic systems that must run inside secure, and sometimes disconnected, environments, which is a genuinely hard problem and a distinctive part of what makes this role interesting.

This role is hands-on and engineering-led. You'll write production-grade code, contribute to secure platform patterns, and make sure your data services run predictably in tightly governed Defence environments.

Developing modular, maintainable software components that process, transform and expose data for analytical, operational or AI-driven use cases, with testing and observability built in from the start.

Designing and implementing data ingestion and event-driven patterns that support real-time or near-real-time flows, keeping them reliable under demanding operational conditions.

Defining data workflows programmatically and managing complex dependencies, scheduling and error-recovery behaviour within secure, assured environments.

Packaging, deploying and monitoring ML and, increasingly, GenAI and agentic data workloads inside assured environments. This can include self-hosted or open-weight models, retrieval (RAG) and vector search over governed data, and the guardrails, evaluation and human oversight that non-deterministic systems demand. Running these patterns where…