Data engineer in insurance

I'm working with a growing specialist insurance business that's looking to bring in a Senior Data Engineer to support its expanding data team. This is a great opportunity for someone who enjoys being hands-on technically but also wants to work closely with the business, understand its challenges and have a real say in how data is used. The team is small, so you'll have plenty of exposure to senior stakeholders and the opportunity to make a genuine difference. They're currently rebuilding their Databricks platform and moving their reporting from AWS QuickSight to Power BI, so there's plenty to get involved in.

• Building and improving data pipelines.
• Working with Databricks to improve the existing data platform.
• Getting hands-on with data transformation and modelling.
• Using Python, SQL and PySpark to deliver data solutions.
• Supporting the migration from QuickSight to Power BI.
• Working closely with teams across Finance, Pricing, Regulatory and Compliance.
• Helping the business understand what it needs from its data and turning that into practical solutions.

• Someone with solid experience in Python, SQL and Databricks, who understands data pipelines and modelling and is comfortable working across the data engineering lifecycle.
• Just as importantly, they want someone who can communicate well, take ownership and isn't afraid to roll their sleeves up.
• You'll need to be comfortable working in a small team where everyone gets involved and priorities can change.
• Будет плюсом: Insurance experience would be useful, as would any Power BI, AWS and PySpark experience

• £80,000–£85,000 salary.
• Generous bonus scheme
• 25 days' holiday, increasing to 30 with length of service.
• Hybrid working, with around one day a week in the London office
• The option to work abroad at set times during the year.
• Life insurance and death-in-service cover.
• The business has ambitious growth plans and this role gives you the chance to help shape its data function rather than simply maintain what's already there.