IT & Software

Senior Data Engineer

CGI

Leeds · West Yorkshire · United Kingdom

Overview

In this role you will design and build enterprise-scale data pipelines and products to improve client operations and analytics. You will work across Foundry and cloud ecosystems to translate stakeholder needs into production-grade solutions, emphasizing quality, observability and reusable patterns. Collaborating with architects, product owners and analysts, you’ll shape roadmaps and deliver measurable outcomes that accelerate modern data adoption. This is a hands-on role in a collaborative, client-facing environment with a strong emphasis on ownership and delivering value.

Pay / Benefits
  • competitive salary
  • excellent pension
  • private healthcare
  • share scheme (3.5% + 3.5% matching)
Responsibilities
  • Design, build and optimise enterprise-scale data pipelines and data products
  • Translate stakeholder needs into maintainable, production-grade solutions
  • Champion quality, observability and reusable engineering patterns
  • Collaborate with architects, product owners and analysts to shape roadmaps and deliver measurable outcomes
  • Work across Foundry and cloud ecosystems to enable scalable data platforms
Key requirements
  • Strong commercial data engineering experience delivering production-grade solutions on modern platforms
  • Comfort with large datasets, distributed processing, and software engineering discipline for data products
  • Foundry experience is desirable; strong Python/PySpark engineers who can learn Foundry quickly
  • 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 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 client-facing delivery experience
  • Desirable: hands-on Palantir Foundry experience or ability to upskill quickly
  • Collaborative mindset
  • Ownership and pragmatic problem-solving
  • Client-facing communication
  • Python
  • PySpark / Apache Spark
  • SQL

Reference: WJ-747_31199048

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