The role is responsible for supporting end-to-end data and reporting services across the analytics landscape, including Power BI dashboards, Azure Databricks data processing and transformation pipelines, Azure SQL/Synapse data warehouses, minor enhancements and associated Azure data platform components. Mandatory • 8+ years of experience in BI, Data Engineering, or Analytics Platform Support. • Minimum 5 years of hands-on experience supporting Azure Databricks environments. • Strong PySpark development and troubleshooting experience. • Experience supporting enterprise-wide analytics and reporting platforms. • Strong SQL troubleshooting and data investigation skills. • Experience supporting Power BI production environments. • Experience working in a production support or IT operations environment. We are looking for a hands-on site reliability engineer with strong expertise across the entire analytics value chain: Source Systems → Azure Data Factory → Azure Data Lake → Databricks (PySpark Transformations) → Azure SQL/Synapse → Power BI Dashboards & MI Reporting The ideal candidate should be equally comfortable investigating a failed dashboard refresh, troubleshooting a Databricks job, analysing SQL data discrepancies, or resolving an end-to-end data pipeline failure. Mandatory • 8+ years of experience in BI, Data Engineering, or Analytics Platform Support. • Minimum 5 years of hands-on experience supporting Azure Databricks environments. • Strong PySpark development and troubleshooting experience. • Experience supporting enterprise-wide analytics and reporting platforms. • Strong SQL troubleshooting and data investigation skills. • Experience supporting Power BI production environments. • Experience working in a production support or IT operations environment.