Data Engineer - Marketing Analytics Platform
Summary
Build and maintain a marketing analytics platform by integrating data sources, ensuring quality, and automating pipelines using Azure Databricks, PySpark, and Power BI.
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).