Senior Data Engineer - Fabric, Azure

I'm working with an established Insurance Broker that is continuing to invest heavily in its Data & Technology capability and is looking for a Senior Data Engineer to play a key role in the modernisation of its data platform.

The business currently operates across Azure and Synapse, with plans to evolve towards Microsoft Fabric, making this a great opportunity to join during a significant period of transformation and have genuine input into the future engineering environment.

Key areas will include: Building and maintaining robust, scalable data pipelines Developing ETL / ELT processes and data integrations Supporting the evolution from Synapse towards Microsoft Fabric Improving data quality, reliability and platform performance Establishing strong engineering standards and CI/CD practices Contributing to platform design and technical decisions Working collaboratively across Data, Technology and Software Engineering What They're Looking For You'll be an experienced Data Engineer with strong cloud data engineering fundamentals.

Experience across Azure, Synapse or Microsoft Fabric would be highly relevant. However, the business is also open to strong engineers coming from Databricks or Snowflake environments. Insurance experience is not required.

They are open on sector and are primarily interested in finding someone with strong technical capability, good engineering principles and the ability to work collaboratively across different teams. Working Model The role will operate on a hybrid basis, with an expectation of being in London 2 to 3 days per week.

There will also be travel to the business's regional offices, typically: Essex, once per month Taunton, once per month Southampton, once per month The model is flexible around regional travel. During a week where you are visiting one of the regional offices, you would not also be expected to commute into London, with the regional visit forming part of your office based working for that week.

All business travel outside of the normal London commute will be fully expensed.

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