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Arthur Recruitment is partnering with an established Insurance Broker to hire a Senior Data Engineer for a major data platform modernisation. You will build and maintain robust data pipelines and ETL/ELT processes, and help steer the move from Azure Synapse towards Microsoft Fabric.
The role is hybrid, based in London with 2–3 days in the office. Expect monthly travel to Essex, Taunton and Southampton; regional trips are planned so you won't commute to London during those weeks.
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:
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.
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.