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Databricks Data Engineer - Leeds - Up to £70,000 Location: Leeds (Hybrid - 2 days per week onsite)Job Type: Permanent About the Company Our client is a rapidly growing data-driven consultancy helping enterprise-scale organisations modernise their data estates. With several major new projects kicking off in early 2026, they are expanding their Leeds engineering hub and looking for a Databricks-focused Data Engineer to join their high-performing team. You will design, build, and optimise cloud-based data pipelines that feed analytics, AI, and real-time insights. You'll work closely with architects, analysts, and platform teams to deliver scalable, high-quality data solutions. Key Responsibilities: Develop, optimise, and maintain ETL/ELT pipelines within DatabricksBuild reliable data ingestion frameworks using PySpark and Spark SQLDesign well-structured data models across medallion/lakehouse architectureWork with DevOps teams to automate deployments using CI/CDCollaborate with stakeholders to understand analytical needsEnsure compliance with best practices around data governance, security, and quality Requirements: Strong experience with Databricks (jobs, notebooks, workflows, Delta Live Tables)Proficiency in PySpark and PythonHands-on experience with Azure Data Lake, Azure Data Factory, or similar cloud servicesUnderstanding of Delta Lake, streaming pipelines, and lakehouse architectureSolid knowledge of data engineering principles (ETL/ELT, modelling, optimisation) Benefits: Salary up to £70,000Annual bonusStructured career development and funded certificationsOpportunity to work on high-impact, enterprise-scale data transformation pro