Genomics Data Platform Engineer - Python & AWS

Genomics England; Cambridge; Hybrid; GBP 66,000 - 81,000; Full time

Benefits offered by this job

Generous Leave

Pension & Financial benefits

Learning & Development

Health & Wellbeing

Blended working model

Job summary

Genomics England is hiring a Software Engineer to join the Scientific R&D team, focusing on Python and AWS. You will develop data processing pipelines across national genomic datasets and contribute to cloud-native, scalable services in an agile environment.

You’ll design end-to-end data workflows, build resilient microservices, and stay current with cloud tooling. Hybrid working is offered with office locations including Cambridge and Leeds.

Qualifications

• BSc in Computer Science or equivalent experience.
• Strong Python skills and experience building scalable backend services.
• Hands-on experience with AWS, microservice architectures, and containerised environments.
• Experience working on data-heavy or distributed systems.
• Familiarity with agile delivery and test-driven development.

Responsibilities

• Designing and enabling future facing research cohorts end to end.
• Writing clean, scalable Python code, following engineering best practices.
• Developing working solutions to enable processing of long read data, including future facing solutions in AWS.
• Designing and maintaining services on AWS, with a focus on resilience and performance.
• Working on distributed systems that handle big data processing at scale.
• Building and evolving our test automation frameworks.
• Troubleshooting issues, working closely with colleagues.
• Staying up to date with the latest tools, libraries and tech approaches.
• Using GitLab, Jira, and Confluence to work effectively in a modern agile setup.

Skills

Python

AWS

Backend services

Distributed systems

Agile

Education

BSc in Computer Science or equivalent

Tools

Terraform

GitLab

Jira

Confluence

Job description

Genomics England is hiring a Software Engineer to join the Scientific R&D team, focusing on Python and AWS. You will develop data processing pipelines across national genomic datasets and contribute to cloud-native, scalable services in an agile environment.

You’ll design end-to-end data workflows, build resilient microservices, and stay current with cloud tooling. Hybrid working is offered with office locations including Cambridge and Leeds.