Senior Data Engineer

Azure, Databricks, PySpark, Azure Data Factory

London - Hybrid (2 days in the office) £75,000 to £85,000 + bonus and benefits

We are working with a leading Lloyd's and London Market insurer who are continuing to invest heavily in their Azure-based data platform. This role sits within a specialist data engineering team responsible for building and evolving a modern cloud data architecture.

You will work across a Databricks-led Azure data stack, contributing to both the design and development of scalable data pipelines and helping shape how the platform evolves. The team operate in a collaborative environment with strong technical capability, where engineers are encouraged to take ownership and influence solutions.

This role is suited to a hands-on Senior Data Engineer who is comfortable working across both development and design, with strong experience in Databricks and modern data engineering practices.

• Design and develop scalable data solutions using Azure technologies including Databricks, Azure Data Factory, ADLS and Synapse
• Build and optimise data pipelines using PySpark and SQL within a lakehouse architecture
• Work with Delta Lake and contribute to the implementation of structured data layers (eg bronze, silver, gold)
• Contribute to solution design, translating business requirements into technical data models and pipelines
• Collaborate with engineers, architects and product owners to deliver new data capabilities
• Implement and support CI/CD pipelines and DevOps practices across multiple environments
• Monitor and optimise performance of data pipelines, identifying improvements in scalability and efficiency
• Support data quality, validation and governance practices across the data platform

• Strong experience as a Data Engineer within an Azure environment
• Hands-on experience with Databricks, including PySpark and Spark SQL
• Experience working with Azure Data Factory and Azure Data Lake (ADLS Gen2)
• Good understanding of Delta Lake and modern lakehouse architectures
• Strong SQL skills, including complex transformations and analytical queries
• Experience building and maintaining ETL or ELT pipelines at scale
• Exposure to CI/CD and DevOps tooling (eg Azure DevOps, GitHub Actions)
• Experience working in Agile teams with strong stakeholder engagement

• Experience with data modelling (dimensional/semantic models)
• Exposure to data governance or tooling such as Unity Catalog
• Experience with streaming or near Real Time data pipelines
• Experience within Financial Services or the London Market

• Opportunity to work on a modern Azure and Databricks data platform
• Strong technical team with real ownership and influence
• Exposure to both engineering and solution design
• Clear opportunity to further develop within a cloud-first environment