Senior Data Engineer

NHS; Bristol; Hybrid; GBP 65,000 - 70,000; Full time

Benefits offered by this job

Competitive salary £65,000-£70,000

NHS Pension

Access to training opportunities

Employee-owned organization culture

Job summary

NHS is looking for a Senior Data Engineer to join BrisDoc’s Business Transformation team, responsible for developing the organization's cloud architecture and data solutions. This role offers the opportunity to innovate and transform essential healthcare services amid a transition towards data-driven and technological solutions.

Your responsibilities include maintaining data pipelines and ensuring data integrity while collaborating with various teams to address challenges faced in operational delivery.

Qualifications

• Confirmed experience in data engineering with data pipelines.
• Strong proficiency in Python and SQL.
• Familiarity with cloud platforms like AWS or Azure.

Responsibilities

• Lead in developing data engineering and analytics.
• Design, build, and maintain scalable data pipelines.
• Ensure delivery of high-quality data integrity and governance.

Skills

Data engineering

Python

SQL

Cloud platforms (AWS, Azure)

Data warehousing

Data integration

Analytical skills

Communication

Education

Undergraduate degree in a quantitative field

Postgraduate degree preferred

Tools

Tableau

Power BI

Hadoop

Spark

Job description

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.

We are not able to offer Skilled Worker visa sponsorship for this role. Applicants must have the right to work in the UK at the time of application.

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, security and compliance.

Establish processes for, and participate in code reviews, testing and documentation to ensure the deployment of high‑quality models and solutions.

Analytics and Machine Learning Support

To support data analysis, data preparation, and feature engineering to identify trends and patterns.

To support and contribute to the development, testing and deployment of statistical, algorithmic and machine learning models, including predictive and AI models, as part of identifying and deploying solutions to organisational data problems.

To support the deployment and monitoring of machine learning models in service and operational environments.

Stakeholder Engagement and Continuous Improvement

To collaborate with individuals and teams across BrisDoc, including business leads and stakeholders, BI and data colleagues to understand and address care, clinician, and business challenges in operational delivery and transformation.

To communicate findings and recommendations to technical and non‑technical stakeholders through clear reports, presentations and visualisations.

To stay up to date with current industry trends and new technologies in the field of data engineering and data science.

Person Specification

Experience, knowledge and education

Essential

• Education: At least an undergraduate degree in a quantitative field like mathematics, statistics, physics, computer science or data science; postgraduate degree preferred.
• Programming: Strong proficiency in statistical and general‑purpose programming languages, including Python (and R or similar languages desirable) and frameworks such as pandas (and tidyverse or similar packages for other languages desirable).
• Cloud computing: Experience in working with cloud computing platforms and data services such as AWS and Azure for deploying and managing data infrastructure and analytic services.
• Data warehousing: Good understanding of data warehousing, data lakes and best practices regarding data integration, storage and management.
• Databases: Experience working with databases, including strong SQL skills.

Desirable

• Data Science: Applied knowledge of data science methodologies and techniques, including proven experience in building and deploying predictive models and using applicable AI and machine learning tools.
• Business intelligence tools: Experience of using tools like Tableau and Power BI.
• Big Data Tools: Familiarity with big data tools (e.g., Hadoop, Spark, Hive).
• NHS / Domain Knowledge: Knowledge of the health sector, NHS and the delivery of healthcare services in primary care and urgent care settings would be an asset but is not essential.

Skills and abilities

Essential

• Communication: Excellent communication and presentation skills.
• Problem‑solving: Strong analytical and problem‑solving skills.
• Self‑management and development: Ability to work under deadlines, take initiative, and continue to learn new technologies and methodologies in a self‑directed way.
• Data privacy and security: Good understanding of data privacy, security and information governance.

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.

Employer details

Employer name

BrisDoc Healthcare Services