Mid-Level Data Engineer (Azure / Databricks)NO VISA REQUIREMENTSLocation: Glasgow (3+ days) Reports to: Head of IT My client is undergoing a major transformation of their entire data landscape-migrating from legacy systems and manual reporting into a modern Azure + Databricks Lakehouse. They are building a secure, automated, enterprise-grade platform powered by Lakeflow Declarative Pipelines, Unity Catalog and Azure Data Factory. They are looking for a Mid-Level Data Engineer to help deliver high-quality pipelines and curated datasets used across Finance, Operations, Sales, Customer Care and Logistics.What You''ll DoLakehouse Engineering (Azure + Databricks)Build and maintain scalable ELT pipelines using Lakeflow Declarative Pipelines, PySpark and Spark SQL.Work within a Medallion architecture (Bronze ? Silver ? Gold) to deliver reliable, high-quality datasets.Ingest data from multiple sources including ChargeBee, legacy operational files, SharePoint, SFTP, SQL, REST and GraphQL APIs using Azure Data Factory and metadata-driven patterns.Apply data quality and validation rules using Lakeflow Declarative Pipelines expectations.Curated Layers and Data ModellingDevelop clean and conforming Silver and Gold layers aligned to enterprise subject areas.Contribute to dimensional modelling (star schemas), harmonisation logic, SCDs and business marts powering Power BI datasets.Apply governance, lineage and permissioning through Unity Catalog.Orchestration and ObservabilityUse Lakeflow Wo