We''re looking for an experienced Senior Data Engineer to join an innovative AI andamp; Data team, building modern, scalable data platforms that power analytics, reporting, and AI/ML initiatives. Location: Hybrid (3days in office) - London | Woking | South Cerney | FarehamEmployment Type: Permanent Key Responsibilities: 8-12+ years of Data Engineering experience. Strong hands-on expertise with Databricks, PySpark, SQL, and Python. Experience designing Lakehouse architectures using Medallion Architecture. Deep knowledge of Delta Live Tables, Unity Catalog, Delta Sharing, and Databricks Workflows. Familiarity with newer Databricks capabilities such as Lakeflow Connect, Lakebase, Metric Views, and Genie. Experience with Microsoft Fabric and the broader Azure ecosystem. Strong data warehousing expertise, including Star Schema, Fact andamp; Dimension modelling, SCD, and CDC. Proficient with Azure DevOps, Git, and CI/CD pipelines. Experience delivering scalable data platforms that support BI, analytics, and machine learning workloads Required Skills: Databricks andamp; Apache Spark (PySpark) Python andamp; SQL Microsoft Fabric (preferred) Delta Live Tables, Unity Catalog, Delta Sharing, Workflows Medallion Architecture andamp; Lakehouse concepts Data Warehouse design (Star Schema, Fact andamp; Dimension Modelling, SCD, CDC) Azure DevOps, Git andamp; CI/CD Pipelines Pandas and Databricks Notebooks Nice to Have: Azure Certifications (AZ-900, DP-203, DP-500) Databricks Lakehouse ..... full job details .....