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# Data Engineer

- **Company:** Circle Health
- **Location:** Epsom, United Kingdom
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Automation of Tests, Microsoft Azure, Batch Processing, Computer Programming, Databases, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Migration, Data Systems, Data Warehousing, Dimensional Modeling, File Transfer, Python (Programming Language), Logical Data Models, Metadata, Microsoft SQL Server, Operational Databases, Oracle (Applications), Scrum Methodology, Software Engineering, SQL Databases, Data Streaming, Systems Integration, Management of Software Versions, Apache Spark, Microsoft Fabric, Infrastructure Automation Frameworks, Information Technology, Enterprise Integration, Software Version Control, Data Pipelines
- **Published:** November 13, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/data-engineer/55865328

## About the Role

RequirementsSubstantial experience as a Senior Data Engineer or equivalent, with strong hands-on experience of Microsoft Azure data services and Microsoft Fabric.
Proven experience leading data engineering workstreams for significant system implementations, integrations or data migration programmes.
Experience designing data architectures, integration solutions, logical data models, data flows and technical specifications.
Strong experience building scalable and reliable ETL/ELT data pipelines across multiple data sources.
Strong hands-on experience with Oracle and SQL Server, including complex SQL.
Strong programming skills using Python, Scala or another relevant language used with Spark and modern data engineering platforms.
Strong understanding of dimensional modelling, including Kimball-style fact tables, dimensions and slowly changing dimensions.
Understanding of enterprise integration patterns including APIs, messaging, event-driven integration, batch processing and secure file transfer.
Experience implementing automated testing, CI/CD, source control using Azure DevOps and infrastructure-as-code practices.
Strong understanding of data quality, metadata, lineage, security and data governance.
Experience mentoring engineers, reviewing technical designs and promoting engineering standards.
Knowledge of software development methodologies including Agile and Scrum.
Bachelor's degree in Computer Science, Software Engineering or a related discipline, or equivalent relevant professional experience.

## Description

We have an opportunity for a Senior Data Engineer to join their team of staff in the Group IT department. This is a full time role for 37.5 hours a week. The role holder will be required to cover a flexible shift pattern. Duties of this role include:
ResponsibilitiesYou lead the design, development and optimisation of the Microsoft Fabric data platform, ensuring it provides a scalable, secure and reliable foundation for Circle Health Group's data requirements.
You provide technical leadership across complex data engineering initiatives, translating business, clinical and technical requirements into robust solution designs.
You design and implement robust data transformation processes and Kimball-style dimensional data models, including fact tables, dimensions and slowly changing dimensions.
You lead the data engineering workstream for major system implementations, integrations and migration programmes.
You define and promote consistent data engineering standards covering source control, automated testing, CI/CD, versioning, documentation, monitoring and operational support.
You use Azure DevOps and appropriate infrastructure-as-code practices to support repeatable, controlled and auditable deployment of production data solutions.
You proactively monitor data pipelines, databases and platform components to ensure appropriate levels of availability, reliability, scalability and performance.
You ensure data solutions support appropriate standards for data quality, metadata, lineage, governance and security.
You provide technical guidance, mentoring and knowledge sharing to Data Engineers, Analysts and other technical colleagues.
You ensure data engineering solutions are delivered to agreed standards for quality, security, performance, cost and timescales.