About this Position
The 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
