I need an experienced data professional to take raw tables living in our cloud warehouse and turn them into clean, analytics-ready models. Your day-to-day will center on writing highly efficient SQL, designing repeatable ETL logic, and orchestrating everything through Azure Data Factory so the pipelines run hands-free. The warehouse is already in place; what’s missing is the transformation layer that converts disparate source data into a single source of truth the business can trust. Expect to: • Build and document robust staging, cleansing, and dimensional models directly inside the cloud data warehouse • Optimise complex joins and long-running queries for both cost and speed • Drop into Python (Pandas, NumPy) whenever a transformation is better handled in code than in SQL If you bring thoughtful data modelling practices, clear version control habits, and a knack for squeezing every millisecond out of a query, let’s get started.