Data Engineer - Insurance

Data Engineer - Insurance

£80,000

1 Year FTC

London Based - 2/3 days in Office

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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 xwzovoh 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)