Senior / Lead Data Engineer - Azure Databricks

📋 Description

• Build and maintain the semantic layer and KPI model, including Databricks Metric Views
• Work directly with business owners to define, validate and build KPIs and the underlying business
• Profile source data quality, ownership, history, grain and reconciliation requirements across
• Design and build data integration and transformation pipelines to prepare enterprise data for
• Define conformed dimensions and market-specific variations across primary markets
• Work closely with the Business Analyst and Lead AI Engineer to translate KPI definitions and

🎯 Requirements

• 5+ years of experience in Data Engineering, ideally supporting FMCG/CPG retail data (POS, SKU
• Hands-on experience with Databricks Metric Views (or equivalent semantic/metric layer tooling)
• Strong hands-on experience building semantic layers and KPI/metric models
• Proficiency in SQL and Python for data processing and transformation
• Experience with cloud data platforms (Azure Databricks) and modern ELT/ETL tooling
• Understanding of data modelling techniques, conformed dimensions, and Medallion-style architectures