Data Engineer

Data Engineer | London Hybrid | £70,000–£100,000 + 30–40% Bonus

I’m currently working with a well-established and growing business in the insurance market that is looking to hire a Data Engineer into its London team.

This is a strong opportunity for a Data Engineer with 3+ years of experience who enjoys working at the core of a business’s data estate — particularly where there is a need to modernise legacy SQL Server / on-prem data environments into a more scalable Azure-based platform.

The role will suit someone who is confident across Azure data engineering, pipeline development, data modelling and stakeholder engagement, and who wants to play a hands-on role in shaping a more modern data infrastructure. There is also the opportunity to support broader AI and LLM-related initiatives over time.

The role

You will play a key role in helping to evolve and modernise the business’s data environment, with a particular focus on moving away from more traditional / legacy data processes into a more robust, scalable and cloud-based architecture.

This role will involve:

• Designing, building and optimising scalable ETL / ELT pipelines
• Helping modernise and migrate traditional SQL Server / on-prem data processes into Azure
• Working across Azure Data Factory, Synapse / Fabric, Azure SQL / data lake environments
• Building and improving data models to support reporting, analytics and business decision-making
• Improving data quality, validation, monitoring and overall reliability of core datasets
• Supporting integration work across internal systems, third-party platforms and APIs
• Working closely with business stakeholders to translate operational requirements into scalable technical solutions
• Contributing to reporting and dashboard capability through tools such as Power BI
• Supporting current and future AI / LLM-related projects where relevant

What they’re looking for

• 3+ years’ experience in Data Engineering or a closely related role
• Strong hands-on experience with SQL and Python
• Experience building and maintaining production-grade data pipelines
• Strong exposure to Azure data services, ideally including tools such as Azure Data Factory, Synapse, Fabric, Azure SQL or Azure Data Lake
• Experience working on or supporting the modernisation of legacy / on-prem / SQL Server-based data environments
• Good understanding of ETL / ELT, data modelling, data warehousing and reporting workflows
• Experience with Power BI, modern data tooling and version control / CI/CD
• Someone comfortable working with non-technical stakeholders and gathering requirements from the business
• Insurance, London Market or insurance broking data experience would be beneficial, but is not essential
• Interest in emerging AI / LLM / AI-assisted tooling is a bonus

Package

• £70,000–£100,000 base salary
• 30–40% bonus
• Hybrid working
• 33 days holiday, plus the option to buy 5 additional days
• Excellent pension, double matched by the company up to 10%

This is a genuinely strong opportunity for a Data Engineer who wants:

• real ownership across data platform modernisation
• the chance to work on Azure-based transformation work
• exposure to a complex, business-critical data environment
• a strong overall package and benefits offering
• involvement in both current data engineering priorities and future AI initiatives
• If this looks of interest, please apply with your most up-to-date CV.

If this looks of interest, please apply with your most up to date CV