Senior Analytics Platform Engineer | Cloud, Data & MLOps

Oscar Technology

Cheltenham

Hybrid

GBP 70,000 - 90,000

Full time

7 days ago
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Benefits offered by this job

Hybrid and flexible working
Private Medical Insurance
Life Assurance
28 days annual leave
Generous pension contributions
Office in Cheltenham with parking

Job summary

Oscar Associates (UK) Limited is partnering to recruit an Analytics Platform Engineer (Senior or Principal) in Cheltenham. The role focuses on designing, building and evolving scalable analytics hosting platforms with cloud migration and data management at the core.

You will collaborate with Data Scientists and MLOps teams, delivering robust solutions and adapting to unfamiliar technologies while maintaining strong security and reliability across mission-critical analytics services.

Qualifications

  • Strong Python development experience.
  • Experience with Kubernetes.
  • Docker and containerised environments.
  • Understanding of CI/CD principles and GitLab pipelines.
  • Strong problem-solving and collaboration skills.

Responsibilities

  • Design, build, test and deploy scalable analytics hosting platforms.
  • Provide hands-on engineering support to Data Scientists and MLOps teams.
  • Work across the full SDLC from design to deployment and enhancement.
  • Tackle cloud migration and data management projects.
  • Ensure platforms are secure, robust, and maintainable.

Skills

Python
Kubernetes
Docker
GitLab CI/CD
Problem solving
Platform engineering

Tools

Apache Spark
Scala
S3
Elasticsearch
Graph databases
Vector stores

Job description

Oscar Associates (UK) Limited is partnering to recruit an Analytics Platform Engineer (Senior or Principal) in Cheltenham. The role focuses on designing, building and evolving scalable analytics hosting platforms with cloud migration and data management at the core.

You will collaborate with Data Scientists and MLOps teams, delivering robust solutions and adapting to unfamiliar technologies while maintaining strong security and reliability across mission-critical analytics services.

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