Senior Data Engineer

You will lead the design and optimisation of Circle Health Group's data platform, driving scalable, secure data solutions. In this role you provide technical leadership across complex data initiatives and translate clinical and business needs into robust architectures. You will build and optimise ETL/ELT pipelines and Kimball-style dimensional models, while guiding system implementations and migrations. You’ll champion standards, governance, and automation, and mentor other engineers. This is a data-enabled role at scale within a leading healthcare group.

• 25 days holiday per year + bank holidays
• Private Pension Scheme
• Private Healthcare Scheme
• Friends & Family Hospital Discounts
• Family Friendly policies (enhanced Maternity, Paternity & Adoption pay)
• Non-contributory life insurance

• Lead design, development and optimisation of the Microsoft Fabric data platform for scalable, secure data foundations.
• Provide technical leadership across complex data engineering initiatives and translate requirements into robust designs.
• Design and implement robust data transformations and Kimball-style dimensional models (fact tables, dimensions, SCDs).
• Lead data engineering workstreams for major system implementations, integrations and migrations.
• Define and promote standards for source control, automated testing, CI/CD, documentation, monitoring and operational support.
• Use Azure DevOps and IaC practices to deploy production data solutions in a repeatable, auditable way.
• Proactively monitor data pipelines, databases and platform components for availability, reliability, scalability and performance.
• Ensure data solutions meet quality, metadata, lineage, governance and security standards.
• Provide technical guidance, mentoring and knowledge sharing to Data Engineers, Analysts and other technical colleagues.
• Deliver data engineering solutions to agreed quality, security, performance, cost and timescale targets.

• Extensive experience as a Senior Data Engineer or equivalent with hands-on Microsoft Azure data services and Microsoft Fabric.
• Proven track record leading data engineering workstreams for significant system implementations, integrations or data migrations.
• Experience designing data architectures, logical data models, data flows and technical specifications.
• Strong ability to build scalable and reliable ETL/ELT pipelines across multiple data sources.
• Hands-on experience with Oracle and SQL Server, including complex SQL.
• Programming skills in Python, Scala or comparable language used with Spark and modern data platforms.
• Solid understanding of dimensional modelling (Kimball) including SCDs.
• Knowledge of enterprise integration patterns (APIs, messaging, event-driven, batch, secure file transfer).
• Experience implementing automated testing, CI/CD, source control (Azure DevOps) and IaC.
• Understanding of data quality, metadata, lineage, security and governance.
• Experience mentoring engineers and promoting engineering standards.
• Knowledge of Agile/Scrum software development methodologies.

• mentoring
• leadership
• clear communication
• Microsoft Fabric
• Azure data services
• ETL/ELT design