Salary: £60,000 - 80,000 per year Requirements: Proficiency in Azure Databricks and PySpark Experience in designing and developing data models and ETL pipelines Strong understanding of data integration processes Knowledge of monitoring, tuning, and optimizing data platforms Ability to lead and upskill teams in best practices and architecture patterns Experience with large scale data processing Previous experience in a Data Engineer or Architect role Permanent residency in the UK Responsibilities: Lead the design and implementation of a new Databricks-based data warehousing solution Design and develop data models, ETL pipelines, and data integration processes Conduct large scale data processing using PySpark Monitor, tune, and optimize data platforms for reliability and performance Upskill the wider team in Databricks best practices and modern architecture patterns Technologies: Architect Azure Databricks ETL PySpark Cloud More: We are excited to offer an opportunity for an experienced Data Engineer to join our national Data & Analytics function as we embark on significant technical modernization. Our team will work on a greenfield project to build a future-proof data warehousing platform with a focus on scalability, quality, and best practice. This is a hybrid role based in Atherstone, allowing for 3 days in the office and 2 days remote work. We are committed to diversity and inclusion, particularly in neurodiversity, and we welcome applications from all qualified individuals. last updated 6 week of 2026