Platform Engineer

Apex Resources; Gloucester; Hybrid; GBP 68,000 - 83,000; Full time

Job summary

Apex Resources is seeking an Analytics Platform Engineer (DevOps) to design, build and maintain scalable analytics platforms in a hybrid Gloucestershire role. You will support Data Scientists and MLOps teams, optimise cloud infrastructure and CI/CD pipelines, and contribute across the full software lifecycle. DV clearance or higher is required.

Hybrid work in Gloucestershire with up to £75k DOE or a 6-month contract option (daily rate).

Qualifications

• Experience designing scalable analytics platforms.
• Proficient in Python, Kubernetes, Docker and CI/CD.
• Familiarity with data science workflows and MLOps concepts.

Responsibilities

• Design, build and maintain cloud analytics platforms.
• Support data scientists and ML engineers across SDLC.
• Improve performance, security and reliability of platforms.

Skills

Python

Kubernetes

Docker

CI/CD pipelines

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