About this role
Salary: £60,000 - 70,000 per year
Requirements: Strong SQL and Python skillsSolid understanding of Lakehouse architecture and data management principlesHands-on experience with Azure, including Data Factory, Databricks, Synapse, Storage, and DevOpsExperience designing Star Schema data models for Power BI5+ years of experience building data platforms in a commercial settingReal-time pipeline experience is desirableAzure Data Engineer certification is desirableExposure to Kafka or other open-source tools is desirableBackground in a regulated industry such as finance or insurance is desirable Responsibilities: Design and build performant data ingestion pipelines using Apache Spark, ideally within Azure DatabricksContribute to our platform data modelling and architectureBuild dashboards and semantic models, and present them directly to stakeholdersWork across the full pipeline from source systems to target repositories, with a strong focus on data qualityCollaborate with Data Scientists to help productionise ML pipelinesOperate within an Agile/DevOps environment Technologies: AzureDatabricksDevOpsKafkaPower BIPythonSQLSparkCloud More:
We are a growing financial services business building out our data platform from the ground up. This is a permanent hybrid role based in Basingstoke, offering a salary of £60,000 to £70,000. You will own the end-to-end lifecycle of data products, working closely with stakeholders across the business to turn raw data into something practical and actionable.
last updated 29 week of 2026