University of Plymouth

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Data Engineer @ University of Plymouth

PlymouthOnsiteContract
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About this role

The University of Plymouth is seeking a talented Data Engineer to join the NIHR-funded Mental Health Research Group (MHRG).

Working within the Mental Health Learning System, a major collaboration between the University of Plymouth, NHS partners across Plymouth and Somerset, and King's College London, you will develop and manage linked health and social care datasets to support research, service improvement and better outcomes for people with serious mental health conditions.

About the Role

You will work with NHS data engineers, analysts and researchers to:

Extract, link and manage large, complex datasets. Develop and maintain database and data management processes. Support research and service improvement through high-quality quantitative data. Collaborate with clinicians, researchers, managers and partner organisations.

There will also be opportunities to develop skills in areas such as statistical modelling, quantitative analysis and natural language processing.

The role is embedded within Somerset NHS Foundation Trust and Livewell Southwest, Plymouth, with hybrid working available. Attendance on-site at least two days per week is required.

About You

You will have experience in:

Data engineering and database management. Data extraction, linkage and transformation. SQL and large-scale data handling. Working with complex datasets in secure environments.

A full driving licence and willingness to travel is desirable.

What We Offer

35 days annual leave plus bank holidays and closure days. Generous pension scheme. Flexible and hybrid working. Learning and development opportunities. Enhanced family leave. Employee wellbeing support. Cycle to Work and Electric Car Schemes.

For an informal discussion, please contact:

Dr Stuart Spicer – [email protected]

Dr Julian Elston – [email protected]

Join us and help transform mental health research and services through innovative use of linked healthcare data.

Closing date: 12 midnight, Sunday 6 September 2026

Skills

Professional / Managerial / Support ServicesLibrary Services, Data & Information ManagementHigher EducationAcademicIT Services

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