Data Engineer

Data Engineers | Financial Services | Manchester (hybrid)

Manchester (Hybrid)

Mid Level £50,000-£60,000 / Senior £60,000-£80,000 + 15% bonus + 10% Pension

TECH : Azure | Data warehousing | Databricks | Python | SQL/ T-SQL | ETL | CICD

We’re partnering with a leading specialty finance business that’s investing heavily in its data platform to transform how data is used across Finance, Actuarial and Claims — including AI-driven initiatives that are genuinely moving the needle.

This is a hands-on data engineering role where you’ll sit at the heart of the organisation’s data strategy, working closely with senior stakeholders while building modern, scalable solutions on Azure and Databricks . If you enjoy solving complex data problems in a regulated, data-rich environment - this one’s for you.

The Opportunity

You’ll join a growing data team delivering a wide range of business-critical projects, from modernising legacy data warehouses to enabling advanced analytics and AI use cases across the insurance lifecycle.

This role blends deep technical ownership with real business influence — ideal for an experienced Data Engineer who wants to see their work directly impact underwriting, claims and financial decision-making.

What You’ll Be Doing

• Designing and building enterprise-scale data solutions on the Microsoft Azure platform
• Developing and optimising data pipelines using ADF / SSIS , Databricks and Python
• Working with large, complex datasets across Finance, Actuarial and Claims domains
• Supporting the migration and optimisation of legacy SQL Server data warehouses into Azure
• Acting as a senior technical voice within the team — guiding standards, best practice and delivery
• Collaborating with internal teams, offshore partners and senior business stakeholders
• Delivering high-quality, well-tested and well-documented solutions in an Agile environment

What They’re Looking For

• Strong experience designing and delivering enterprise data platforms
• Advanced T-SQL skills (performance tuning, complex transformations, stored procedures)
• Hands-on experience with Azure Data Factory , Databricks and Python
• Solid understanding of data warehousing, ETL, dimensional modelling and data governance
• Comfortable working in Agile teams with CI/CD, Git and Azure DevOps
• Insurance or financial services experience strongly preferred (London Market / Lloyd’s a plus)
• Confident communicator who enjoys working directly with non-technical stakeholders

Why This Role?

• Work on genuinely meaningful insurance data problems — not BAU reporting
• Strong backing for modern cloud data and AI initiatives
• High level of ownership and autonomy
• Hybrid working and a mature, collaborative engineering culture
• Excellent benefits covering financial, physical and mental wellbeing

If you’re a senior data engineer looking to apply modern data engineering and AI techniques within a forward-thinking insurance environment — let’s talk .