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  "job_title": "Databricks Data Engineer",
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  "employer_name": "Nigel Frank",
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  "job_description": "Databricks Data Engineer - Leeds - Up to £70,000\n\nLocation: Leeds (Hybrid - 2 days per week onsite)\nJob Type: Permanent\n\nAbout the Company\n\nOur 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.\n\nYou 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.\n\nKey Responsibilities:\n• Develop, optimise, and maintain ETL/ELT pipelines within Databricks\n• Build reliable data ingestion frameworks using PySpark and Spark SQL\n• Design well-structured data models across medallion/lakehouse architecture\n• Work with DevOps teams to automate deployments using CI/CD\n• Collaborate with stakeholders to understand analytical needs\n• Ensure compliance with best practices around data governance, security, and quality\n\nRequirements:\n• Strong experience with Databricks (jobs, notebooks, workflows, Delta Live Tables)\n• Proficiency in PySpark and Python\n• Hands-on experience with Azure Data Lake, Azure Data Factory, or similar cloud services\n• Understanding of Delta Lake, streaming pipelines, and lakehouse architecture\n• Solid knowledge of data engineering principles (ETL/ELT, modelling, optimisation)\n\nBenefits:\n• Salary up to £70,000\n• Annual bonus\n• Structured career development and funded certifications\n• Opportunity to work on high-impact, enterprise-scale data transformation programmes",
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  "job_posted_at_timestamp": 1771891200,
  "job_posted_at_datetime_utc": "2026-02-24T00:00:00.000Z"
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