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Data Engineer - Business Intelligence
The closing date is 19 June 2026
Are you a strong Data Engineer who builds reliable pipelines, improves data quality and delivers trusted data products?
BPAS is recruiting a Data Engineer to join the growing Business Intelligence team. You will work with BI, Software Engineering, IT and business stakeholders to deliver secure, practical data solutions. Reporting to the BI Lead, you will strengthen the data foundations that support reporting, analytics, service improvement and decision‑making. You will design and maintain robust data pipelines and analytical data layers using Microsoft Fabric, Azure or similar platforms. You will develop well‑structured, high‑quality datasets and governed outputs for reporting and analysis, and support secure data provision, including pseudonymised or anonymised outputs, in line with governance and data‑protection requirements.
Experience in machine learning or data science would be an advantage, but strong engineering capability is the priority.
This is a permanent, full‑time, 36‑hour hybrid role with travel to Head Office in Leamington Spa typically 1 to 2 days per month.
Main duties of the job
* Build and maintain automated pipelines from SQL databases, APIs and operational systems.
* Develop secure analytical data layers using Fabric, Azure or similar platforms.
* Transform, model and quality‑assure data for reporting, analytics and decision‑making.
* Create reusable datasets, governed outputs and trusted reporting assets.
* Support secure access, governance, documentation and data lineage.
* Contribute to advanced analytics or ML use cases where relevant.
About you
We are looking for a rigorous data engineer with strong experience in integration, modelling and delivering reliable, well‑documented data solutions. You should be confident moving data from operational systems into governed analytical environments, with strong attention to quality, control and secure handling of sensitive data. You will work effectively with technical and non‑technical colleagues and communicate clearly about data design, quality and delivery. Experience within healthcare or population health data would be valuable but is not essential.
Key skills and experience
* Strong SQL, Azure and Fabric skills and proven experience building robust automated data pipelines.
* Experience with lake, lakehouse, warehouse or similar analytical platforms.
* Strong grasp of data modelling, quality, documentation, lineage and governance.
* Understanding of secure data access, GDPR and privacy‑preserving methods.
* Ability to create trusted data assets for reporting, analytics and decision‑making.
Benefits
* 34 days annual leave (including bank holidays)
* Life assurance at 3 × salary
* Defined contribution pension scheme
* Access to GP 24/7, 365 days a year
* MyMindPal mental fitness app and 24/7 counselling support
* Online discounts, discounted gym membership and other lifestyle benefits
* Family‑friendly policies to support work‑life balance
Salary & Hours
* Salary: £55,000 - £62,000 per annum, depending on skills and experience.
* Hours per week: 36 hours.
* Working pattern: Monday to Thursday 09:00‑17:00; Friday 09:00‑15:30.
Equal Opportunities Statement
BPAS is committed to safeguarding and promoting the welfare of everyone who uses our services, and all staff share this responsibility. Recruitment follows safer‑recruitment principles and includes appropriate pre‑employment checks. We actively welcome applications from people of all backgrounds, identities, and experiences. We are proud to be an inclusive employer and will make reasonable adjustments to ensure a fair and accessible recruitment process for all candidates.
Legal Information
Applicants must have the legal right to work in the UK at the time of application. Visa sponsorship is not available for this role.
All offers of employment are conditional on satisfactory pre‑employment checks. Applicants must provide three years of employment references, including reasons for leaving and details of any gaps in employment.
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