Build and maintain semantic layer and KPI model using Databricks Metric Views
Collaborate with business owners to define KPIs and business logic
Profile data quality, lineage, history, grain, and reconciliation across source systems
Design data integration and transformation pipelines for AI narratives and analytics
Define conformed dimensions and market variations across primary markets
Translate KPI definitions into reusable data models with BI stakeholders

🎯 Requirements

4+ years in Data Engineering, preferably FMCG/CPG retail data
Hands-on with Databricks Metric Views or equivalent semantic/metric layer tooling
Strong experience building semantic layers and KPI/metric models
SQL and Python for data processing/transformation
Cloud data platforms (Azure Databricks) and modern ELT/ETL tooling
Understanding of data modelling, conformed dimensions, and Medallion architecture

🎁 Benefits

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