This range is provided by ARC IT Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
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Connecting exceptional talent with excellent opportunities.
London/hybrid
*You must have insurance experience to apply for this role*
Are you a Data Engineer with a passion for turning raw data into powerful insights? We're on the hunt for a hands-on, Azure-savvy problem solver to help build and enhance our clients next-gen Data Lakehouse platform - the foundation of their analytics and decision-making engine.
If you have experience in the MGA or (re)insurance world, thrive in agile environments, and love collaborating across teams, you'll feel right at home there.
What You'll Be Doing:
* Build and maintain scalable, secure data pipelines using Azure ADF, Databricks, Synapse and more.
* Shape the future of our Data Lakehouse, working closely with both regional and global teams.
* Translate business needs into reliable data models that power insightful reporting and analytics.
* Champion data quality, governance, and security across platforms.
* Collaborate with analysts, data scientists, and teams in underwriting, finance, and operations.
* Contribute to solution design, platform evolution, and ML/AI integration.
* Support delivery of data products, APIs, and interactive dashboards.
What You Bring:
* Strong hands-on experience with Azure data tools (ADF, Databricks, Synapse, Storage, DevOps).
* Proven background in Data Engineering, ELT pipeline design, and scalable architecture.
* Fluency in SQL, Python/Scala/R; experience with Power BI is a big plus.
* Solid grasp of Data Lakehouse architecture and how to make it sing.
* Bonus points for experience in insurance or MGA data environments.
* Excellent communicator, stakeholder whisperer, and natural problem-solver.
This is your chance to join a high-impact, high-visibility role in a fast-moving environment where your work shapes decisions at the top.
*all salaries are depndent on experience*
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Industries
Insurance
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