Permanent, Full-time

Hybrid role based in Bristol or London, with required travel to the office for meetings and team days

The Role

We’re looking for someone who is passionate about data and excited to help grow our Data Engineering capability and the way we use data and analytics at Bupa Dental Care (BDC). As a Data Engineer, you’ll be a key member of the team, contributing to the delivery of priority Bupa Dental Care initiatives.

You’ll build, enhance and support data pipelines and data products across our existing ecosystem, ensuring reliable, secure and high‑quality data for analytics and reporting. You’ll also play an important role in the delivery of our data platform transformation, helping create a modern data ecosystem to support the evolving needs of our colleagues, patients and partners. Working closely with data, technology and business stakeholders, you’ll translate data needs into effective engineering solutions that make a real impact.

Responsibilities

Collaboration & Relationships

• Work with BDC Tech and Data teams to build a seamless, well‑integrated data ecosystem aligned to BDC’s needs, quality standards and service commitments.
• Collaborate with colleagues across Data, Tech and the business to understand requirements, translate them into effective engineering solutions, and deliver outcomes.
• Proactively build productive relationships with Data, Tech and business stakeholders.
• Play a key role within the Data Engineering team shaping, building and maintaining modern data engineering solutions in healthcare.

Delivery & Ownership

• Take end‑to‑end ownership of data engineering projects - from design through build, test, release and support.
• Operate in an agile environment, actively contributing to sprint planning, estimation, stand‑ups, reviews and retrospectives.
• Proactively improve code quality, performance, reliability, documentation and ways of working.
• Own your development: seek feedback and grow your technical capability.

Data Platform Contribution

• Contribute to the evolution of our data engineering approach through practical improvements and delivery learnings.
• Shape our data and analytics strategy and roadmap by sharing ideas grounded in engineering experience.
• Help implement platform patterns and ways of working that improve scalability, maintainability and delivery speed.
• Promote good engineering practices (trusted datasets, clear definitions, reproducible pipelines, documentation).

Technical Delivery & Assurance

• Develop and maintain cloud‑based data infrastructure (data lakes, warehouses, processing frameworks).
• Build robust ingestion and transformation processes ensuring quality, consistency, lineage and security.
• Implement reliable, repeatable, secure and observable orchestration for automated workflows.
• Apply security‑first practices to protect sensitive patient information.
• Monitor pipelines and data products; troubleshoot, fix issues, and help prevent incidents.
• Drive continuous platform improvement (e.g., reduce run costs, improve reliability, simplify onboarding and access).
• Write maintainable, well‑tested code and documentation aligned to agreed engineering standards and best practices.

Skills & Experience

• Experience as a Data Engineer, having demonstrated an ability to drive value with customer data in a Health, retail or a customer centric business
• Strategic and forward-thinking approach to data engineering, with the ability to envision and advocate for long-term, scalable solutions. Balances this with a pragmatic mindset, recognising when short-term, fit-for-purpose implementations are appropriate to meet immediate business needs.
• Demonstrable experience of end to end ownership and delivery through the full development lifecycle
• You have experience with cloud computing and developing data processing pipelines including ingestion, cleaning, transformation, monitoring, data quality profiling and more.
• You have worked with large-scale batch processing as well as near-real time stream processing.
• Experience with Snowflake, Azure Data Factory, Azure SQL databases and Power BI with Python, Databricks and GA experience desirable
• Strong interpersonal, oral and written communication skills; able to work effectively with technical and non-technical stakeholders
• Ability to work in a fast-paced, deadline-driven environment with good prioritisation and attention to detail

Benefits

• 25 days holiday, plus the option to buy more.
• Discounts in over 7,000 retailers, discounted gym membership and discounted dental insurance (of course).
• Access to remote GP and nurse services, physiotherapy, and mental health support.
• Early access to your earned wages through Wagestream.
• Cycle to work scheme.
• And many more, just ask…

If you or someone you know would be interested in working with a dynamic and expanding healthcare business, with lots of support on offer, great benefits and friendly teams, we would love to hear from you!