Platform Engineer

Company: Apex Resources
Apply for the Platform Engineer
Location: Gloucester
Job Description:

Analytics Platform Engineer (DevOps)

Up to £75k DOE – (or 6 month Contract – possible extension £ per day)

Gloucestershire – Hybrid

Active DV Clearance or higher required

Want to play a key role in delivering the analytics platforms behind some of the UK’s most technically challenging Defence projects?

Apex is proud to be working with a forward-thinking Defence consultancy that is helping organisations navigate complex digital and organisational change. Specialising in delivering technology-led transformation across highly regulated environments, this business takes a people-first approach, recognising that lasting success comes from empowering individuals as much as implementing new technology.

We are looking for an Analytics Platform Engineer to help design, develop and enhance a modern analytics platform that supports the delivery of business-critical data solutions. This role will see you building and maintaining scalable platform capabilities, troubleshooting existing services, and providing technical support to Data Scientists and MLOps teams working across a range of technologies.

Key Responsibilities of the Analytics Platform Engineer

  • Design, build and maintain scalable analytics platforms and cloud-based infrastructure.
  • Contribute across the full software development lifecycle, from design and development through to testing, deployment and ongoing support.
  • Develop new platform capabilities while enhancing and maintaining existing analytics solutions.
  • Troubleshoot technical issues, implement improvements and optimise platform performance.
  • Collaborate closely with Data Scientists, MLOps Engineers and other technical teams to deliver reliable, secure and high-performing solutions.
  • Adapt to a varied workload, solving complex engineering challenges across a range of technologies and environments.

Essential Skills of the Analytical Platform Engineer

  • Python
  • Kubernetes
  • Docker
  • CI/CD pipelines (GitLab or similar)

Desirable skills

  • MLOps and data engineering concepts
  • Apache Spark
  • Scala
  • S3-compatible object storage
  • Graph database technologies

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Posted: August 21st, 2026