Senior / Lead Data Engineer - Azure Databricks

📋 Description

• Build and maintain semantic layer and KPI model for governed scorecards
• Define KPIs with business owners and translate to data models
• Profile data quality, lineage, history, grain across source systems
• Design data integration pipelines for AI narratives and analytics
• Define conformed dimensions and market variations
• Collaborate with BI/AI teams to translate KPI definitions into reusable models

🎯 Requirements

• 5+ years in Data Engineering, FMCG/CPG data experience preferred
• Databricks Metric Views or equivalent semantic layer tooling
• Experience building semantic layers and KPI/metric models
• SQL and Python for data processing
• Cloud data platforms (Azure Databricks) and ELT/ETL tooling
• Data Modeling: conformed dimensions, Medallion architectures

🎁 Benefits