Data Engineer
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Role details
Tech stack
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Job description
- Develop pipelines, transformations, and data products on top of our new data platform
- Work in a code-led engineering environment using Python, PySpark, and notebook-based development
- Build and improve lakehouse solutions using Microsoft Fabric and Azure technologies
- Work with Spark, Delta tables, and medallion architecture patterns across Bronze, Silver, and Gold layers
- Contribute to testing, monitoring, and data quality practices
- Help shape how our organisation uses data, including data products, automation, AI, and Generative AI
- Solve engineering problems and build robust solutions through code
Technologies:
- AI
- Azure
- CI/CD
- Databricks
- Fabric
- Git
- Python
- PySpark
- SQL
- Spark
- Cloud
- Data Warehouse
- UX UI Design
Requirements
- Strong experience with Python and PySpark
- Experience working in a modern Databricks, Spark, or Python engineering environment
- Experience building production-grade data solutions through code
- Strong understanding of distributed processing
- Experience with Microsoft Fabric is beneficial, though not essential
- Experience with Azure Databricks is particularly relevant
- Experience with SQL, Git/source control, CI/CD, testing, monitoring, and data quality is relevant
Benefits & conditions
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.
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