Senior Engineer, Data Engineering

Data Engineer Azure | Databricks | PySpark | Hybrid Cloud | Fabric Location: London (Hybrid) Salary: £85,000 + Bonus + Benefits Type: Permanent A Data Engineer is required for a fast-evolving (re)insurance business at the heart of the Lloyd\’s market, currently undergoing a major data transformation. With a strong foundation in the industry and a clear vision for the future, they\’re investing heavily in their data capabilities to build a best-in-class platform that supports smarter, faster decision-making across the business. As part of this journey, they\’re looking for a Data Engineer to join their growing team. This is a hands-on role focused on building scalable data pipelines and enhancing a modern Lakehouse architecture using Databricks , PySpark , and Azure . The environment is currently hybrid cloud and on-prem , with a strategic move towards Microsoft Fabric -so experience across both is highly valued. Building and maintaining robust data pipelines using Databricks , PySpark , and Azure Data Factory . Working across both cloud and on-prem environments , supporting the transition to Microsoft Fabric . Collaborating with stakeholders across Underwriting, Actuarial, and Finance to deliver high-impact data solutions. Support DevOps practices and CI/CD workflows in Azure PySpark and Python for data transformation and processing Azure Data Factory for data integration Hybrid cloud/on-prem environments Microsoft Azure ecosystem Microsoft Fabric and its evolving role in enterprise data platforms Azure DevOps for CI/CD and deployment Experience in Financial Services or Lloyd\’s market is a plus