About this role
Salary: £55,000 - 65,000 per year
Requirements: Strong experience with Python and PySparkExperience working in a modern Databricks, Spark, or Python engineering environmentExperience building production-grade data solutions through codeStrong understanding of distributed processingExperience with Microsoft Fabric is beneficial, though not essentialExperience with Azure Databricks is particularly relevantExperience with SQL, Git/source control, CI/CD, testing, monitoring, and data quality is relevant Responsibilities: Develop pipelines, transformations, and data products on top of our new data platformWork in a code-led engineering environment using Python, PySpark, and notebook-based developmentBuild and improve lakehouse solutions using Microsoft Fabric and Azure technologiesWork with Spark, Delta tables, and medallion architecture patterns across Bronze, Silver, and Gold layersContribute to testing, monitoring, and data quality practicesHelp shape how our organisation uses data, including data products, automation, AI, and Generative AISolve engineering problems and build robust solutions through code Technologies: AIAzureCI/CDDatabricksFabricGitPythonPySparkSQLSparkCloudData WarehouseUX UI Design More:
We are an organisation that has heavily invested in modernising our legacy data estate and are now building on the foundations of a modern Microsoft Fabric/Azure data environment. Our team is growing and focused on developing the next stage of our data capability, with an emphasis on code-led engineering rather than traditional drag-and-drop development. The role offers a salary of £55,000 to £65,000 plus benefits, with a hybrid setup of 1-2 days per week in St Helens. We are open to candidates with commercial Databricks, Spark, or Python experience who want to move deeper into PySpark, distributed processing, and Fabric.
last updated 37 week of 2026