-
About the role
Data Engineer - Insurance
£80,000
1 Year FTC
London Based - 2/3 days in Office
We’re looking for a Mid Data Engineer to help design, build, and operate scalable, reliable, and high-quality data infrastructure across a modern Microsoft-based data platform.
This role sits at the intersection of software engineering and data management, ensuring that data flows seamlessly from source systems into analytics-ready structures that power insight, reporting, and decision-making across the organisation.
You’ll play a key role in shaping how data is built, trusted, and consumed—working closely with business domains, analysts, data scientists, and platform engineers.
Data Engineering & Pipelines
- Build and maintain robust ETL/ELT pipelines using Microsoft Fabric (Data Factory, Lakehouse, etc.)
- Design reliable ingestion processes from APIs, databases, and file-based sources
- Apply best-practice pipeline design patterns for resilience and re-runnability
Data Modelling & Analytics Enablement
- Design analytical data models that are performant, maintainable, and business-friendly
- Apply dimensional modelling techniques for BI and reporting use cases
- Build and optimise Power BI semantic models and datasets
Microsoft Data Platform
- Contribute to the evolution of a modern Azure/Microsoft data platform
- Optimise pipelines for performance, scalability, and cost efficiency
- Work confidently across cloud data storage and compute services
Data Mesh & Domain Ownership
- Support domain-oriented data product development in partnership with business teams
- Promote standards for naming, metadata, documentation, and discoverability
- Enable decentralised data ownership while maintaining consistency
Experience
- Proven experience as a Data Engineer in a modern cloud data environment
- Strong SQL skills (complex queries, joins, optimisation)
- Hands-on Python for data processing and pipeline development
- Experience with Microsoft Fabric and Power BI (datasets, semantic models)
- Understanding of data modelling for analytics and reporting
- Familiarity with CI/CD, testing, version control, and data quality practices
- Exposure to data mesh / domain-oriented data ownership (desirable)
