Data Engineer - Lloyd's Broker - Up to £60,000A leading Lloyd's broker is seeking a Data Engineer to join their dynamic team.This is a key role within a growing organisation, offering the opportunity to contribute to critical data initiatives that support strategic decision-making and advanced analytics. Key Responsibilities:* Design, build, and maintain robust data pipelines and datasets * Ensure high data quality and integrity across systems * Enable data-driven processes across business intelligence and analytics platforms Key Requirements:* Proven experience as a Data Engineer within insurance (essential) * Strong proficiency in SQL and Python * Hands-on experience with ETL frameworks and modern data tools * Familiarity with cloud platforms, ideally Microsoft Azure * Solid understanding of data modelling, data warehousing, and data architecture principles This is an excellent opportunity to join a respected Lloyd's broker and play a pivotal role in shaping its data landscape. To express interest or learn more, please contact me on .
Back to searchData Engineer
Harrison Holgate
Posted 11 hours ago, valid for 18 days
London, Greater London EC1R 0WX
Full Time
In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.
Sonic Summary
- A leading Lloyd's broker is looking for a Data Engineer to join their dynamic team.
- The position offers a salary of up to £60,000 and requires proven experience in data engineering within the insurance sector.
- Key responsibilities include designing and maintaining data pipelines, ensuring data quality, and enabling data-driven processes.
- Candidates should have strong proficiency in SQL and Python, as well as hands-on experience with ETL frameworks and cloud platforms, preferably Microsoft Azure.
- This role presents an excellent opportunity to influence the data landscape of a respected organization.
