Lead Data Engineer - Azure and Databricks LakehouseGlasgow (3/4 days onsite) Exclusive Role with a Leading UK Consumer BusinessA rapidly scaling UK consumer brand is undertaking a major data modernisation programme-moving away from legacy systems, manual Excel reporting and fragmented data sources into a fully automated Azure Enterprise Landing Zone + Databricks Lakehouse. They are building a modern data platform from the ground up using Lakeflow Declarative Pipelines, Unity Catalog, and Azure Data Factory, and this role sits right at the heart of that transformation. This is a rare opportunity to join early, influence architecture, and help define engineering standards, pipelines, curated layers and best practices that will support Operations, Finance, Sales, Logistics and Customer Care. If you want to build a best-in-class Lakehouse from scratch-this is the one.? What You''ll Be DoingLakehouse Engineering (Azure + Databricks)Engineer scalable ELT pipelines using Lakeflow Declarative Pipelines, PySpark, and Spark SQL across a full Medallion Architecture (Bronze ? Silver ? Gold).Implement ingestion patterns for files, APIs, SaaS platforms (e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks.Apply Lakeflow expectations for data quality, schema validation and operational reliability.Curated Data Layers and ModellingBuild clean, conformed Silver/Gold models aligned to enterprise business domains (customers, subscriptions, deliverie