About this PositionThe Data Engineer supports the development and operation of Henkel’s enterprise metadata platform, DataHub. The role focuses on building scalable data engineering and governance solutions that connect key enterprise platforms into one centralized ecosystem serving global data consumers. As part of a hands-on engineering environment, the position contributes to data quality, automation, and cloud-based capabilities that strengthen how data is discovered, understood, and trusted across Henkel.
What you´ll do
- * Build and maintain scheduled metadata ingestion pipelines integrating platforms such as Databricks Unity Catalog, Power BI, SAP, and Azure Synapse into DataHub
- Support and enhance governance automation solutions covering dataset compliance, ownership, descriptions, lineage, and automated tagging
- Develop and improve data quality and completeness scoring capabilities across the enterprise data landscape
- Work directly with DataHub SDKs, REST APIs, and GraphQL APIs to support metadata operations and integrations
- Contribute to AI-enabled metadata access capabilities supporting intelligent assistants and modern AI solutions
- Build and maintain data lineage between source systems and downstream consumers
- Develop scalable cloud-native solutions running on Azure Kubernetes Service (AKS)
- Collaborate with global and cross-functional teams to support scalable and reliable enterprise data solutions
- Support engineering best practices including testing, monitoring, and continuous platform enhancements
