Data Engineer

What You'll Be Doing

• Design and maintain scalable ETL pipelines and cloud-based data solutions.
• Lead the migration of reporting assets from Qlik to Power BI and Microsoft Fabric.
• Build semantic models and data structures optimized for financial reporting.
• Develop Power BI dashboards and reporting solutions.
• Implement data security, governance, and row-level security (RLS).
• Monitor data quality through reconciliation and exception reporting.
• Partner with Finance, IT, and business stakeholders to deliver trusted analytics.

What You'll Need to be Considered

• Experience developing ETL pipelines using modern data integration tools.
• Proficiency with Python and Databricks (PySpark) or comparable technologies.
• Hands-on experience building semantic models and dashboards in Power BI.
• Experience working with cloud data platforms such as Azure, Snowflake, AWS, or Google Cloud.
• Familiarity with Microsoft Fabric or enterprise reporting migrations.
• Knowledge of ERP or financial systems such as SAP, Oracle, or Workday.