Lead Analytics Engineer (Databricks | Lakehouse | Data Modelling)

Location: London, United Kingdom (Hybrid: 3 days onsite per week) Employment Type: Full-time/Permanent We''re looking for a Lead Analytics Engineer to join a fast-growing AI andamp; Data team, where you''ll play a critical role in shaping how data drives executive decision-making. You will own the analytics layer, design scalable data models, and transform raw data into trusted, business-ready insights. If you enjoy working with Databricks, modern lakehouse architectures, and data modelling, this role is for you. Key Responsibilities Architect and build scalable data pipelines on Databricks Design and implement data models (Star Schema, Facts andamp; Dimensions) Own the semantic/analytics layer ( single source of truth ) Work with Delta Live Tables, Unity Catalog, Workflows Optimize and troubleshoot complex ETL pipelines Collaborate with business and technical teams to deliver impactful insights Drive best practices across data architecture andamp; engineering What We''re Looking For Strong hands-on experience with Databricks (Spark, Delta Lake) Advanced SQL + Python (Databricks Notebooks, Pandas) Proven experience in data modelling (Star Schema, SCD, CDC) Experience building data warehouses/lakehouses Good understanding of Medallion Architecture Experience with Azure DevOps/CI-CD pipelines Ability to translate data into business value Nice to Have Azure certifications (AZ-900, DP-203, DP-500) Databricks certifications Exposure to Microsoft Fabric Experience with ..... full job details .....