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# Senior Data Engineer, Insurance

- **Company:** ARC IT Recruitment
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £150,000.0 - £200,000.0
- **Contract:** Permanent contract
- **Skills:** Extract Transform Load (ETL), Data Systems, Python (Programming Language), Microsoft Software, Microsoft SQL Server, Cloud Services, SQL Databases, Transact-SQL, Azure Data Factory, Data Lakes, Tools for Reporting, Data Pipelines, Databricks
- **Published:** September 8, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840676141-senior-data-engineer-insurance

## About the Role

The ideal candidate here will have a strong background in MI or reporting-experience within insurance is essential., * Significant experience with SQL and ETL development.

 * Strong experience with MS SQL Server, T-SQL, Azure Data Factory, Azure Databricks, Python, Data Lake.
 * Strong background in MI or reporting-experience within an MGA or insurance carrier is essential.
 * A sharp analytical mind with the ability to work quickly, efficiently and methodically.
 * Strong communication skills with excellent stakeholder management and influencing skills.
 * Solid understanding of Insurance Operations, Credit Control, and Finance functions.
 * A team player who thrives in an agile, fast-moving, and highly collaborative environment.

## Description

Senior Data Engineer is required to join a forward-thinking data team within a thriving city-based insurance group. This role will see you playing a critical role in delivering reliable, scalable and business-focused data solutions. With a strong focus on Microsoft technologies and cloud-based tools, you'll work directly with key business stakeholders, MI teams and technical teams to drive performance and decision-making through data., * Deliver data solutions and changes that support evolving business requirements.

 * Build and maintain robust, scalable data pipelines using SQL and ETL best practices.
 * Collaborate with stakeholders to analyse, define and implement solutions to complex data challenges.
 * Proactively assess the impact of changes on the broader data model and ensure integrity is maintained.
 * Work alongside the MI/reporting team to ensure data is accurately reflected in dashboards and reporting tools.
 * Consult with business analysts, system owners and architects to align technical delivery with strategic objectives.
 * Build deep knowledge of internal systems and promote collaboration across teams.


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