Data & BI Support Engineer (Power BI / Microsoft Fabric / SQL)

Role & responsibilities

• Data Engineering & Lakehouse: Monitor, orchestrate, and troubleshoot scheduled ETL/ELT pipelines using Microsoft Fabric, Lakehouse, OneLake, and Delta tables. Write SQL, notebooks, or PySpark scripts to fix transformation or data quality issues across Bronze/Silver/Gold layers.
• Power BI & Analytics: Provide L2/L3 support for Power BI semantic models, reports, and dashboards. Troubleshoot refresh failures, optimize DAX measures and Power Query transformations, and deliver minor report enhancements.
• Incident & Production Support: Conduct root-cause analysis for failed data loads, reconciliation discrepancies, or dashboard anomalies. Support production releases, deployments, and integration connectivity (APIs, ERP/SAP sources)

Preferred candidate profile

• 3+ years of experience across Data Engineering or Business Intelligence/Power BI environments.
• Strong SQL proficiency and deep understanding of data warehousing, dimensional modelling, and star schemas.
• Hands-on experience with Power BI Desktop/Service and DAX, alongside core ETL/ELT pipeline concepts.
• Exposure to cloud data platforms (Microsoft Fabric, Azure Data Lake, Delta Lake, or PySpark).
• Prior experience in production support (L2/L3), incident management, and data reconciliation.