Senior Data Engineer

Drive measurable change by shaping and delivering large-scale data products and platforms using Palantir Foundry and cloud-native tooling. In this role you’ll engineer scalable pipelines, transform complex datasets into operational decision-making assets, and partner with clients to unlock efficiency and insight across critical programmes. You’ll join multi-disciplinary teams where pragmatic ownership, creative solutioning and strong technical craft translate directly into business outcomes—building reusable patterns, improving observability and accelerating client roadmaps for modern data adoption.

CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK ‘Best Employer’ by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you’ll be part of an open, friendly community of experts. We’ll train and support you in taking your career wherever you want it to go.

Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position.

Candidate Profile

In this role you will design, build and optimise enterprise-scale data pipelines and data products that directly improve client operations and analytics. You will work across Foundry and cloud ecosystems (or quickly gain Foundry expertise), translating stakeholder needs into maintainable, production-grade solutions while championing quality, observability and reusable engineering patterns. You will collaborate closely with architects, product owners and analysts to shape roadmaps and deliver measurable outcomes.

Required Qualifications To Be Successful In This Role

You should have strong commercial experience in data engineering, demonstrating the ability to deliver production-grade solutions on modern platforms. Candidates will be comfortable with large datasets, distributed processing and applying software engineering discipline to data products; Foundry experience is highly desirable but strong Python/PySpark engineers who can learn Foundry quickly are encouraged to apply.

• Extensive experience with Python and PySpark / Apache Spark.
• Proven track record designing and delivering scalable data pipelines and data products.
• Strong SQL and data modelling skills.
• Experience with modern data architectures and cloud data services (AWS, Azure or GCP).
• Familiarity with version control, automated testing and CI/CD for data platforms.
• Experience integrating data from multiple structured and unstructured sources.
• Strong problem-solving ability and experience working in delivery-focused or client-facing environments.
• (Desirable) Hands-on Palantir Foundry experience or demonstrable ability to upskill quickly in new platforms.

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