Global organisation on the lookout for an Azure Data Engineer to lead their build of an enterprise data warehouse in cloud using Azure tools. The Role: Global organisation on the lookout for an Azure Data Engineer to lead their build of an enterprise data warehouse in cloud using Azure tools. Sydney Based - Hybrid Up to $175k inc Super (Depending on Experience) Greenfields Your Responsibilities: Build an enterprise data warehouse in cloud using Azure tools for the enablement of various data domains across the orginisation globally. Implement orchestration tools to streamline and optimise workflows, ensuring efficiency and consistency in cloud operations. Design and implement workflows in Azure for data process automation. Support for any issues with the Enterprise Data Warehouse (EDW cloud), Global Data Warehouse (GDW on premise), global ETL and data management. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. About You: 5 years of ETL Development / Data Engineering. Proficiency in administering Azure databases. Relational SQL with data pipeline and workflow management tools. Exposure to Azure cloud services: and the Microsoft synapse technologies; Azure Data Factory, Azure Synapse, Azure Databricks