Data Engineer - Marketing Analytics Platform
Summary
Data Engineer building a marketing analytics platform by integrating multiple data sources into a unified reporting framework with Power BI views; core stack is Azure Databricks, PySpark/Python, Delta Lake, Unity Catalog, and SQL.
PROJECT INFORMATION:
Industry: Pharmaceutical
Work model: Remote/hybrid
Rate: up to 50 EUR/h netto+VAT (B2B)
Summary:
The primary goal of this role is to develop and enhance a marketing analytics platform by integrating various data sources into a unified reporting framework, ultimately providing valuable insights for business leadership.
Responsibilities:
Develop analytical deep-dive views in Power BI across multiple data pillars.
Migrate master reference tables into a central Master Data Management (MDM) system.
Design and implement a comprehensive data quality framework throughout the data pipeline.
Automate data delivery processes for manually loaded data sources.
Migrate data sources to a full raw data model as new vendor data structures become available.
Must Haves:
Expertise in Azure Databricks (including jobs, clusters, Unity Catalog).
Proficient in PySpark / Python for writing transformation logic and unit testing.
Strong knowledge of Delta Lake functionalities.
Advanced SQL skills for complex queries and aggregations.
Experience with CI/CD processes and tools like Azure DevOps and Git.
Practical experience with Unity Catalog sharing and configurations.
Nice to Haves:
Background in consumer panel or tracking data.
Experience with DAX in Power BI for complex analytics.
Knowledge of Consumer Health or FMCG analytics.
Familiarity with working with external data vendors and managing SLAs.
Other Details:
Location: Remote / hybrid.
Duration: October 2026 - December 2026 (extension possible).