Data Engineer - Insurance

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)