Provide technical guidance, mentorship, and lead activities within the Data Programme. Qualifications & Experience Relevant professional qualification or equivalent experience. Proven experience with data warehousing, ETL/ELT, integration tools, and BI solutions. Expertise with Synapse (notebooks and data flows) is essential. Working knowledge of PySpark is essential. Experience with Azure More ❯
usability. Automation and Workflow Management Use Power Automate to streamline data workflows and automate routine reporting tasks. Support cross-system data integration where applicable. ETL Development and Modernisation Build and maintain ETL pipelines using best practice methods and modern tooling. Support data transformation and movement across systems and platforms. Participate … procedures, and managing database structures. Proficient in Power BI dashboard development and DAX formulas. Experience with Power Automate for data-driven workflows. Understanding of ETL concepts and processes. Exposure to modern data platforms such as Azure Data Lake , Databricks , or Microsoft Fabric is a bonus. Analytical Skills: Ability to understand More ❯
usability. Automation and Workflow Management Use Power Automate to streamline data workflows and automate routine reporting tasks. Support cross-system data integration where applicable. ETL Development and Modernisation Build and maintain ETL pipelines using best practice methods and modern tooling. Support data transformation and movement across systems and platforms. Participate … procedures, and managing database structures. Proficient in Power BI dashboard development and DAX formulas. Experience with Power Automate for data-driven workflows. Understanding of ETL concepts and processes. Exposure to modern data platforms such as Azure Data Lake , Databricks , or Microsoft Fabric is a bonus. Analytical Skills: Ability to understand More ❯
experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯
