• Lead and mentor a team of data engineers, fostering a culture of continuous learning, innovation, and operational excellence. • Partner with cross-functional teams to design and implement scalable data pipelines and models aligned with business needs and industry best practices. • Oversee the development, deployment, and maintenance of enterprise-grade ELT processes, data marts, and business intelligence assets. • Own and evolve data quality frameworks, ensuring proactive monitoring, troubleshooting, and resolution of data issues. • Champion the adoption of automation and modern data engineering practices, driving efficiencies in pipeline management and data delivery. • Guide your team in building domain knowledge around healthcare operations, ensuring data solutions comply with regulatory and security requirements. • Contribute to strategic planning for the data engineering function, including resource allocation, technology selection, and process improvement initiatives. • Support and enforce software development best practices, including code reviews, source control, CI/CD, and testing.

• Use data engineering best practices to produce high quality, maximally available data models which are intuitive to data analysts and trusted by stakeholders • Develop deep domain knowledge in healthcare operations, tracking regulatory developments related to analytics products you maintain • Apply quality measures and other metrics to datasets originating from internal and external clients • Build scalable ELT pipelines and business intelligence dashboards as needed, embracing automation wherever possible • Implement data quality checks which proactively identify data issues and distributional shifts to ensure accuracy of downstream analytical products

• The lakehouse and the streaming ingestion that feeds it. • You’d help set the multi-year technical direction, design the golden paths, and ship the work — directly, with your hands on the code that matters. • You’d report to the Director of Data Engineering and partner with a peer Manager whose scope is people leadership and operational delivery. • You own technical direction, application architecture, and the engineering bar. • You’ll work alongside other senior staff engineers across the broader data platform org.

• Create and maintain optimal data pipeline architecture from multiple data sources. • Assemble large, complex data sets that meet functional / non-functional business requirements. • Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc. • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources. • Ensure robust data validation and verification processes to ensure the correctness of data for reporting. • Develop and maintain data warehousing approaches, including the modelling and pipelining of data for storage and retrieval. • Keeping data separated and secure as per best practice guidelines. • Ensure that the data taken from the information sources is accurate, liaising with other business functions when necessary. • Proactively keep up to date with the latest cloud data technology. • Provide support, documentation and training to other applicable team members as and when required to ensure that overall objectives are met.