Data Engineer
Role details
Job location
Tech stack
Job description
We're looking for someone passionate about data who's ready to shape and grow our Data Engineering practice and how we use Data and Analytics at Bupa. As a Senior Data Engineer, you'll report to the Lead Data Engineer and play a key role in driving our data strategy and delivering major initiatives. You'll lead and inspire the data engineering team, manage our existing ecosystem, and be central to the delivery of our data platform migration, building a modern platform that supports colleagues, patients, and partners. Strong technical leadership and people management skills are essential, as growing and developing your team will be critical to our success. Responsibilities Collaboration and Relationships - Work with the Bupa Dental Care Tech and Data teams to build a seamless, well-integrated data ecosystem that meets business needs and quality standards. Communicate openly and professionally, proactively drive strategic discussions, and build strong relationships across Data, Tech, and the wider business. Deliver results through effective teamwork and stakeholder connections, while managing data engineers building and supporting modern healthcare data solutions. Leadership - Combine your technical expertise with strong leadership. Take ownership of decisions and stakeholder engagement, coach and develop the Data Engineering team, champion Agile practices, and foster continuous improvement. Prioritise your own development and that of your team, helping create future leaders. Data Strategy - Shape how our data engineering practice supports Bupa Dental Care's strategic priorities over the next 3-5 years. Support the Lead Data Engineer in evolving our platform, processes, and roadmap, while driving data usage in decision-making and promoting a data-driven culture. Technical Assurance - Ensure technical solutions are fit for purpose and support business and data strategy. Continuously improve platform performance, encourage best practices, maintain Azure-based infrastructure, implement robust data transformations, automate workflows, and uphold security-first practices to protect sensitive patient information. Drive architectural planning to strengthen data capabilities and overall infrastructure.
Requirements
- Strong experience as a Data Engineer, ideally with Snowflake, driving value from customer/patient data in a health, retail, or customer-focused business.
- Hands-on experience with cloud computing and developing end-to-end data pipelines, including ingestion, cleaning, transformation, monitoring, and data quality profiling.
- Experience with large-scale batch processing and near-real-time stream processing.
- Familiarity with Azure Data Factory, Azure Service Bus, Azure SQL databases, Azure Analysis Services, Power BI, SQL, Python, Databricks; GA experience desirable.
- Skilled stakeholder manager, able to influence and engage on the use of data.
- Experience managing remote teams.