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Data Engineer
Job summary
A leading financial services company is seeking a skilled Data & Analytics Engineer to enhance data systems and management reporting. In this hybrid role, you will design reporting solutions and support data strategy. Essential skills include SQL, Python, and ETL tools, with desirable experience in Microsoft Azure and DevOps. The position offers a salary of £60,000-£65,000, and you will work closely with internal teams to deliver actionable insights.
Qualifications
- Proven experience working in a financial services environment or insurance broker.
- Experience in Extract, Transform, Load processes to consolidate and transform data.
Responsibilities
- Maintain and optimise business data usage to support decision-making.
- Develop and implement data strategies to enhance analytical capabilities.
- Act as the primary liaison for data coordination between teams.
Skills
Location: London (Hybrid, 3 days in office)
Salary: £60,000-£65,000
We are seeking a skilled Data & Analytics Engineer to join a leading financial services and insurance client. You will play a key role in building, maintaining, and enhancing the company's data systems and management reporting, helping teams turn information into actionable insights.
You will design and implement reporting solutions and business intelligence (BI) tools that improve data accessibility and strengthen analytics across the organisation. Working closely with internal teams and external partners, you will support the delivery of the company's data strategy while producing accurate and timely reporting.
- Maintain and optimise business data usage to support decision‑making.
- Develop and implement data strategies to enhance the analytical capabilities of Syndicate and Compliance teams.
- Act as the primary liaison for data coordination between the Syndicate team and central systems (HUB).
- Deliver high‑quality data for forms, statements, reports, member communications, and online portals.
- SQL & Python: Writing efficient queries, automating data processing, and analytics scripting.
- ETL Tools: Experience in Extract, Transform, Load processes to consolidate and transform data.
- Industry Experience: Proven experience working in a financial services environment or insurance broker.
- Microsoft Azure: Experience with Azure Data Factory (workflow orchestration), Azure Synapse Analytics (data warehousing), and Azure Functions (task automation).
- Azure DevOps: Skilled in CI/CD, pipeline creation, and deployment automation.
- .NET / C# Development: Comfortable developing backend processes and automation scripts in C#.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.