Data Engineer

Allscreens Nationwide Ltd; Oxford; On-site; GBP 65,000 - 90,000; Full time

Job summary

The University of Oxford's Centre for Medicines Discovery invites a Data Engineer to design and deliver scalable ETL pipelines and data systems that empower scientists working with complex datasets.

You will collaborate with multidisciplinary teams across the Centre for Medicines Discovery, the Centre for Human Genetics, and the wider Nuffield Department of Medicine, contributing to FAIR data management and provenance.

Qualifications

• Master’s degree in Computer Science / Bioinformatics / Data Science, or related computational discipline.
• Experience designing and maintaining ETL workflows and handling large, complex or heterogeneous datasets.
• Strong proficiency in Python, with experience building production-grade data pipelines.
• Ability to manage multiple concurrent projects and deliver high-quality results to deadlines.
• Working knowledge of biology with an interest in biomedical data management is desirable.

Responsibilities

• Design and deliver scalable ETL pipelines and data systems for scientific use.
• Collaborate with multidisciplinary teams across the Centre for Medicines Discovery and related units.
• Contribute to FAIR-compliant data management strategies and data provenance improvements.
• Support metadata standards and interoperability initiatives.

Skills

Python

ETL workflows

Production-grade data pipelines

Project management

Biology knowledge

Education

Master’s degree in Computer Science / Bioinformatics / Data Science

Job description

Are you a skilled Data Engineer looking to apply your expertise to real-world scientific challenges? Join the Research Informatics Team at the Centre for Medicines Discovery and help power cutting-edge drug discovery and translational science.

As a Data Engineer, you will play a central role in designing and delivering scalable data pipelines and systems that enable scientists to work efficiently with complex datasets. You will collaborate closely with multidisciplinary teams across the Centre for Medicines Discovery, the Centre for Human Genetics, and the wider Nuffield Department of Medicine. You will also contribute to high-profile initiatives such as OpenBind UK, working alongside leading organisations including Diamond Light Source and EMBL-EBI. You will design, implement, and maintain scalable ETL pipelines, incorporating automation, validation, quality checks, and workflow orchestration. You will also develop performant and reliable data products and services, contribute to FAIR-compliant data management strategies, and support improvements in metadata standards, interoperability, and data provenance.

It is essential that you hold Master’s degree in Computer Science, Bioinformatics, Data Science or another relevant computational discipline together with experience in designing and maintaining ETL workflows and handling large, complex or heterogeneous datasets. You will have strong proficiency in Python, with experience in building production-grade data pipelines. You will be able to manage multiple concurrent projects and deliver high-quality results to deadlines. Having a working knowledge of biology with a clear interest in biomedical data management is highly desirable.

This position is offered full time on a fixed term contract until 31 July 2029 and is funded by the Research Informatics SRF.

University of Oxford, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences