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Senior Software and Data Engineer

The closing date is 26 October 2025

We are seeking experienced individuals with talent, expertise, and ambition in software and data engineering. We can offer the opportunity to work on innovative solutions that will transform scientific research and healthcare delivery in the NHS.

The successful candidates will work as part of the Thames Valley and Surrey (TVS) Secure Data Environment (SDE) Programme hosted by Oxford University Hospitals NHS Foundation Trust (OUH). They will design and implement solutions to support data acquisition, integration, and analysis.

The tools and services that they deliver will have a significant impact. Working with healthcare professionals and leading researchers, they will have the satisfaction of seeing their software in use: supporting cutting-edge research and improving patient care.

Main duties of the job

The successful candidate will provide expert leadership and technical knowledge on the delivery of software and data services across a range of digital areas, including systems, applications, data analysis, information reporting, information governance and information interpretation, investigate a range of highly complex data engineering issues, be responsible for strategic planning and delivery across a range of specialised areas and will manage the design, development and adaptation of highly complex software and data engineering solutions.

About us

Oxford University Hospitals NHS Foundation Trust is one of the largest NHS teaching trusts in the country. It provides a wide range of general and specialist clinical services and is a base for medical education, training and research. The Trust comprises four hospitals – the John Radcliffe Hospital, Churchill Hospital and Nuffield Orthopaedic Centre in Headington and the Horton General Hospital in Banbury. For more information on OUH please view OUH At a Glance by OUHospitals – Issuu.

Our values, standards and behaviours define the quality of clinical care we offer and the professional relationships we make with our patients, colleagues and the wider community.

We call this Delivering Compassionate Excellence and its focus is on our values of compassion, respect, learning, delivery, improvement and excellence.

Job responsibilities

Please see the attached job description and person specification for further information. For an informal discussion about this role, please contact Kinga Vrnai, Special Projects Lead (kinga.varnai@ouh.nhs.uk).

Person Specification

Qualifications

• Expert knowledge of software and data engineering acquired through a combination of specialist training and relevant study (eg computer science, software engineering, mathematics) to Master's degree or equivalent level
• Extensive experience within a complex and demanding environment
• Extensive, relevant professional experience may be considered against the requirement for a degree in computer science or a related discipline (the expectation of professional, technical competence is at least that associated with a degree level education in this subject)

Experience

• Demonstrable experience of collaboration and leadership in data engineering or software development within a healthcare, academic, or commercial environment.
• Excellent understanding of data engineering processes, models, data structures, and data formats (including JSON, SQL, and XML) and Strong skills in relevant programming languages, frameworks, and platforms
• Interest and/or experience in technologies relating to data science, for example: statistical analysis, machine learning, or natural language processing

Disclosure and Barring Service Check

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

Oxford University Hospitals NHS Foundation Trust

£64,455 to £74,896 a year pro rata

Contract

Permanent

Working pattern

Full-time, Flexible working, Home or remote working, Compressed hours