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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Data Engineer - **Company:** Royal Devon University Healthcare NHS Foundation Trust - **Location:** Exeter, United Kingdom - **Experience:** Expert - **Salary:** £49,387 - £56,515 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Health Informatics, Clinical Data Repository, Cloud Computing, Data Architecture, Data Validation, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Security, Data Structures, Relational Databases, Interoperability, Machine Learning, Operational Data Store, Sql Optimization, Electronic Medical Records, Data Analytics, Operational Systems, Data Pipelines - **Published:** November 12, 2026 - **Apply:** https://careers.royaldevon.nhs.uk/members/?j=14565&lang=en& ## About the Role We are seeking an experienced and forward-thinking data professional with strong technical capability and a passion for enabling impactful healthcare research and innovation. Working closely with teams across Business Intelligence, Data Architecture, Data Science, Research & Development, and the Epic Electronic Patient Record (EPR) programme, the postholder will play a key role in designing and delivering scalable data pipelines that transform operational healthcare data into secure, research-ready datasets., We are seeking an experienced and forward-thinking data professional with strong technical capability and a passion for enabling impactful healthcare research and innovation., * Significant experience working in data engineering, healthcare analytics, or research data environments * Strong experience designing and developing ETL or data integration pipelines * Advanced SQL and relational database skills * Experience working with healthcare datasets and NHS information governance requirements * Strong analytical and problem-solving skills with excellent attention to detail * The ability to communicate complex technical concepts clearly to both technical and non-technical audiences * Experience working collaboratively across multidisciplinary teams Desirable experience includes: * Experience working with Epic EPR data or associated reporting and analytics platforms * Knowledge or practical experience of the OMOP Common Data Model * Experience supporting secure data environments or research platforms * Exposure to cloud-based analytics technologies and modern data architectures * Experience supporting AI, machine learning, or advanced analytics initiatives within healthcare This role would suit an individual who is motivated by solving complex data challenges and who wants to contribute to innovative, research-driven improvements in healthcare delivery and patient outcomes. The successful candidate will be required to undertake Epic EPR training as part of the role. An honorary contract arrangement with the University of Exeter may also form part of this post to support collaborative research delivery. ## Description We are seeking an experienced and motivated Senior Research Data Engineer to join the Trust's Data Architecture team on a fixed-term basis, supporting delivery of the South West Secure Data Environment (SWSDE) programme and the wider development of research-ready healthcare data platforms. Working closely with teams across Business Intelligence, Data Architecture, Data Science, Research & Development, and the Epic Electronic Patient Record (EPR) programme, the postholder will play a key role in designing and delivering scalable data pipelines that transform operational healthcare data into secure, research-ready datasets. The successful candidate will lead the development of robust ETL processes to map Epic EPR data into OMOP-aligned data models, enabling secure and governed access for research and innovation activity across the South West region. This work will create reusable and standardised approaches which can scale across the Devon Epic EPR footprint and support future adoption nationally, as Epic capability expands. The role also acts as an important technical bridge between operational data systems and research delivery. Working closely with the SWSDE, the postholder will support early-stage data quality assessments, feasibility scoping, and research onboarding activity, helping researchers better understand data structure, quality, and limitations while improving delivery timescales. In addition, there is a significant opportunity to contribute to AI and advanced analytics innovation within the Trust. The postholder will work collaboratively with Data Science and AI teams to support proof-of-concept development and help demonstrate the SWSDE's capability to support secure, AI-enabled research and advanced analytical workflows. Working in partnership with the University of Exeter and regional NHS organisations, this is a unique opportunity to contribute to nationally significant work in health data interoperability, research infrastructure, and data-driven healthcare innovation., * Designing, developing, and maintaining scalable research data pipelines and ETL processes * Mapping and transforming Epic EPR data into OMOP-aligned research datasets * Supporting delivery of secure, research-ready datasets through the SWSDE * Developing reusable and standardised data engineering approaches across the regional Epic footprint * Supporting data validation, quality assurance, reconciliation, and metadata documentation activities * Acting as a technical interface between operational systems, research teams, and the SWSDE * Supporting feasibility assessments and early-stage data reviews for research projects * Collaborating with clinical, operational, technical, and academic stakeholders across the NHS and university sector * Supporting AI, advanced analytics, and proof-of-concept innovation projects * Contributing to best practice in healthcare interoperability, research data engineering, and secure analytics environments * Ensuring all activity aligns with NHS information governance, security, and data protection standards