improvements in scalability, maintainability, and cost-effectiveness. Leverage and maintain modern data engineering tools and frameworks (e.g., Azure Data Factory, Synapse, Microsoft Fabric, Spark, Python). Evaluate and recommend emerging technologies that align with organisational strategy and enhance data capabilities. Maintain legacy data warehouses and pipelines (e.g. Oracle, SQL Server … organisations where security, compliance, and reliability are critical. Proficiency in some or all relevant technologies and languages (such as Oracle DBMS/SQL Server, Python, SQL, T-SQL/PLSQL, SSIS, SAP Data Services), cloud data platforms (such as Azure, AWS, Snowflake), and data tools (such as Azure Data Factory ...