Databricks Technical Lead l Contract

• Architect and build the platform on Azure Databricks (Delta Lake, Unity Catalog, medallion architecture)
• Use AI agents and LLMs to reverse-engineer Legacy reports, queries and transformations, and build repeatable AI-assisted processes for code generation, testing and migration
• Build automated testing and reconciliation to validate migrated data against existing reporting
• Integrate SAP, Azure Data Lake, Salesforce and other systems, and design gold-layer models for Power BI
• Set engineering standards (Workflows, CI/CD, IaC, governance) and mentor the team through to UAT and cutover

• Extensive hands-on experience delivering and technically leading enterprise solutions on Azure Databricks
• Demonstrable use of AI, LLMs or agents to reverse-engineer data pipelines or reporting logic
• Strong Python, PySpark and SQL
• Deep knowledge of Delta Lake, Unity Catalog, Workflows and medallion architecture
• Automated validation, reconciliation and testing experience
• Azure data engineering (ADLS Gen2, ADF)
• Databricks CI/CD (Terraform, Asset Bundles or Azure DevOps)
• SAP ECC or S/4HANA integration experience
• Dimensional modelling and Power BI semantic model familiarity
• Proven team leadership while staying hands-on

Desirable

• Databricks certification (Data Engineer Professional or Solutions Architect)
• Platform migration, carve-out or separation experience
• Reusable AI agent frameworks for data engineering
• Strong governance and data quality experience
• Consulting background