Senior Data Engineer

Job summary

Working as part of BrisDoc’s Business Transformation team, the Senior Data Engineer will take a lead role in developing and building our cloud architecture, data lake and warehousing, and data pipelines to support the organisation’s service development and improvement. The role offers the opportunity to support innovation and transformation of vital daytime primary care services and out‑of‑hours urgent care services during an important time of change and development in NHS care, with a shift to more digitised, technological and data‑driven services that support the delivery of excellent healthcare services.

The role will work across BrisDoc and its clinical, operational and back‑office services, clearly and accurately defining business problems and solutions where data plays a crucial role.

Main duties of the job

Who we’re looking for

We are only interested in candidates who can demonstrate the following essential experience:

• Strong experience in data engineering, including building and maintaining data pipelines and data platforms
• Proficiency in Python and SQL
• Experience working with cloud platforms such as AWS or Azure
• A good understanding of data warehousing, data lakes and data integration approaches
• Strong analytical and problem‑solving skills
• Excellent communication skills, with the ability to work with both technical and non‑technical stakeholders

It would be an advantage if you also have:

• Experience supporting data science or machine learning initiatives
• Experience with BI tools such as Tableau or Power BI
• Familiarity with big data tools such as Spark or Hadoop
• Knowledge of healthcare or NHS services

Please note we will only progress applications from candidates who clearly meet the essential criteria outlined above.

About us

Why join BrisDoc?

Business analysis and transformation underpin innovative, safe and high‑quality care for our patients, supporting colleagues across Urgent Care, General Practice and Business Services. In this role, you will see a direct line between your work and real‑world outcomes.

Autonomy with support.

You’ll work closely with senior clinical, operational and corporate leaders, with influence through the Extended Leadership Team. You’ll be trusted to bring structure, evidence and challenge where it matters most.

A values‑led, co‑owner culture.

As an employee‑owned social enterprise, we put people and purpose first. We’re deeply committed to equity, diversity, inclusion, sustainability and innovation, and we want you to thrive here as a co‑owner.

Recognising your value

• Competitive salary £65,000-£70,000 dependent upon experience
• Full time 37.5 hours per week
• Primarily office based in Whitchurch, Bristol with option for some hybrid working
• NHS Pension
• Access to training opportunities to support your career growth
• A supportive, employee‑owned organisation where your contributions are valued
• Social impact through a role that directly adds value to over one million patient.

Job responsibilities

Data Engineering and Architecture

In collaboration with the Head of Data, Digital and Technology and the Business Transformation Lead, to take the lead in developing BrisDocs data engineering capability and supporting wider data and analytics activity, putting data‑driven insight and decision‑making tools at the heart of the organisations mission to provide excellent, patient‑centred care.

To design, build and maintain scalable, automated data pipelines and infrastructure across BrisDocs clinical, operational and back‑office functions.

To ensure data pipelines perform high quality extraction, transformation and loading (ETL) processes that prevent any data quality and record matching issues or overcome them for legacy data systems.

To deliver innovative data solutions that migrate and standardise data from a range of different sources across BrisDoc to drive transformation and deliver organisational priorities, efficiencies and savings.

To develop and support frameworks and processes to migrate legacy data systems to cloud‑based platforms, addressing any problems or challenges identified.

Data Quality, Governance and Standards

To be responsible for and ensure delivery of the highest standard of data quality, integrity and consistency across the organisation, ensuring appropriate data definition, cleaning, validation and monitoring processes are in place.

To support best practices and standards in organisational data and information governance, s