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Lead DevOps Engineer

UK Government - Department for Science, Innovation & Technology
London, GBR
Parttime, Fulltime
Director
Onsite
£58,275–£71,040,
Discovered Yesterday
DevOpsInfrastructure engineeringAnalytical platformsJupyterLabRStudioVS Code

Full Job Posting

Role overview

The department is building a unified analytical tooling and data platform to give analysts access to tools and data quickly and securely.

The platform is based on the Ministry of Justice’s open-source Analytical Platform and is preparing to migrate analysts onto it.

The role is a G7 Lead DevOps Engineer in the analytical tooling strand of the project and is part of the central Data Science and Engineering team.

Responsibilities

  • Own and extend infrastructure and tools that enable analysts to work securely.
  • Contribute to analytical tools such as JupyterLab, RStudio, VS Code, GitHub integration and cloud-based workflow orchestration.
  • Support platform pipelines, storage and ingestion processes that help analysts find and use trusted data efficiently.
  • Work with the team to develop features and iterate based on user feedback.

Team and platform

The small team brings expertise in data engineering, DevOps and software development and works collaboratively with substantial autonomy.

The analytical platform has completed user acceptance testing, and the team is preparing to migrate analysts onto it.

The team works within the department’s Analysis function to build platform capabilities around analysts’ needs.

Salary and benefits

  • Salary is £58,275–£71,040, with national and London ranges; an allowance of up to £10,000 may apply depending on skills, qualifications and experience.
  • A Civil Service Pension is offered with an employer contribution of 28.97%.

Contract and working pattern

  • The role is permanent.
  • Working patterns include flexible working, full-time, job share and part-time.

Locations

  • The listed role locations are Bristol, London and Salford.

Requirements

  • Own and extend infrastructure and tools for the department’s analytical tooling platform.
  • Work collaboratively in a small, autonomous team spanning data engineering, DevOps and software development.

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