Data Engineer

Data Engineers \| Insurance \| Manchester (hybrid)

📍 Manchester (Hybrid)

💰 £50,000-£80,000 + 10-15% bonus (depending on level) + 10% Pension

TECH

: Azure \| Databricks \| Python \| SQL \| Insurance Data

We’re partnering with a leading

specialty insurance 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 senior, 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

.