DevOps Engineer - (Python)

We’re Hiring: Data & DevOps Engineer (Biotech) Help shape the future of immune therapies.



A fast-growing biotech company is on a mission to tackle immune dysfunction — a root cause of many cancers, autoimmune conditions, and infectious diseases.

By developing first-in-class antigen modulation technologies, the team is pioneering a new approach to controlling how the immune system recognises and targets cells.



As the company enters its next phase of growth, we’re looking for a Data & DevOps Engineer to join the IT function and play a key role in building scalable, secure, and reproducible data systems that support cutting-edge science.





This position sits at the intersection of IT, data, and scientific teams (including Bioinformatics).

You’ll lead on designing and delivering modern data infrastructure and DevOps practices that enable high-quality, reproducible research and analytics.





Design and maintain secure, scalable cloud infrastructure (AWS)

Build and optimise CI/CD pipelines for scientific workflows (e.g. Architect data pipelines and platforms for structured and unstructured data

Power BI, Spotfire, Microsoft Fabric)

Enhance data governance, lineage, and auditability

Experience in DevOps, Platform Engineering, or similar within biotech, pharma, or life sciences

Strong expertise in AWS, Docker, and CloudFormation

Hands-on experience with Linux systems and CI/CD pipelines

Experience designing data pipelines and ETL processes

Understanding of data modelling and master data management

Ability to collaborate effectively with scientific stakeholders



⭐ Experience in regulated or research-driven environments (data governance, reproducibility)

Exposure to Microsoft Fabric, Azure data services, or modern BI tools

Experience with AI services (e.g. DevOps/security certifications

Be part of a company driving a fundamental shift in disease treatment

Work at the cutting edge of science, data, and engineering