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Data Engineer; Data Manager

Job in Exeter, Devon, EX2, England, UK
Listing for: NHS
Full Time position
Listed on 2026-02-10
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Job Description & How to Apply Below
Position: Data Engineer (Data Manager)

Organisation Data Service (ODS) issues and manages unique identification codes (ODS codes) and accompanying reference data for organisations that interact with any area of the health and social care system. ODS data is used in almost every IT system across the NHS to support key functionality such as messaging, referrals, financial transactions, access control, reporting and analytics.

We are seeking a highly motivated Data Manager to join the ODS data management team, which also consists of 1 Senior Data Manager and a Higher Information Analyst. Collectively, the team deliver comprehensive data management for ODS which includes:

  • data ingestion, validation, transformation and publication
  • data quality assessments/reviews and data improvements
  • business rule definition and application
  • data management business process documentation
  • supporting information and documentation for users, including responding to 3rd line customer queries
Main duties of the job

Undertake complex analysis of multiple data sources, combining and comparing vast datasets to identify and report on trends and/or anomalies.

Database integration and data analysis tools.

Lead on data quality work packages as defined by/with the ODS Senior Data Manager.

Data flow rationalisation, creation and optimisation.

Contributing to requirement definition for ODS internal products and systems.

FHIR4 API knowledge, specifically ODS FHIR4 API, and experience in using API interrogation tools such as Postman.

Data linkage and defining content requirements.

Taking ownership of the ODS third party data imports.

If successful at interview, we will initiate an Inter Authority Transfer (IAT) via the Electronic Staff Record (ESR). This retrieves key data from your current or previous NHS employer to support onboarding, including competency status, Continuous Service Dates (CSD), and annual leave entitlement. You may opt out at any stage of the process.

Colleagues with a contractual office base are expected to spend, on average, at least 40% of their time working in-person.

Staff recruited from outside the NHS will usually be appointed at the bottom of the pay band.

Job responsibilities

You can find further details about the role, including key responsibilities and accountabilities, alongside the organisational structure and person specification in the attached Job Description and other supporting documents.

Experience of, and an interest in, reference data and how it is fundamental in supporting health and care systems, and therefore enabling frontline delivery of patient care, would be advantageous.

It would also be of huge benefit if the applicant understood the complexities of how the NHS and related stakeholders fit together both from an operational and technical perspective.

For full details please see the attached assignment brief and person specification.

Qualifications
  • Educated to Master's degree level, or equivalent specialist experience, backed up by additional and continual professional development. Data Scientist educated to Master's degree level in a technical subject, such as Statistics, Mathematics or Computer Science, and/or equivalent experience and specialist knowledge across a number of data science areas.
Knowledge
  • Significant data management and optimisation expertise, covering: process design; code development (using languages such as R, Python, SQL or SAS); data architecture; testing and assurance; and reference/master data management.
Skills
  • Proven ability to communicate complex and technical concepts and issues to non-technical colleagues, customers and stakeholders at all levels.
  • Demonstrable strong influencing skills, with the ability to work with others across organisations to achieve agreed strategic and operational objectives.
  • Ability to work effectively on your own or as part of a team and contribute innovative ideas and knowledge to your colleagues.
  • Able to develop solutions and processes for data science and data management.
  • Ability to deliver high quality work under pressure and tight deadlines.
  • Ability to develop clear process documentation, based on customer requirements, against which a developer could build a technical process.
  • Commercially…
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