Data Engineer - copy
Henkel AG & Co. KGaA1 month ago
Cairo, EgyptMid Level
Responsibilities
- Build and maintain scheduled metadata ingestion pipelines integrating Databricks Unity Catalog, Power BI, SAP, and Azure Synapse with DataHub.
- Enhance governance automation for dataset compliance, ownership, descriptions, lineage, and automated tagging.
- Develop data quality and completeness scoring across the enterprise data landscape.
- Use DataHub SDKs, REST APIs, and GraphQL APIs for metadata operations and integrations.
- Contribute to AI-enabled metadata access capabilities for intelligent assistants and AI solutions.
- Build and maintain data lineage between source systems and downstream consumers.
- Develop scalable cloud-native solutions on Azure Kubernetes Service.
- Collaborate with global cross-functional teams and support testing, monitoring, and ongoing platform enhancements.
Requirements
- Hands-on data engineering experience building metadata ingestion pipelines, governance automation, data quality capabilities, or lineage solutions.
- Experience working with DataHub or comparable metadata platforms and SDK/API-based integrations.
- Ability to work with enterprise data platforms including Databricks Unity Catalog, Power BI, SAP, and Azure Synapse.
- Experience developing scalable cloud-native solutions on Azure Kubernetes Service.
- Ability to support engineering practices such as testing, monitoring, and reliable platform operation.
Tech Stack
Categories
Data Engineering
About Henkel AG & Co. KGaA
Henkel AG & Co. KGaA manufactures and sells products across two divisions: Adhesive Technologies for industrial customers and Consumer Brands for households and salons. It supplies adhesives, sealants, and surface treatments to sectors such as automotive, electronics, and packaging, and markets laundry, home care, and hair care lines under brands including Persil, Schwarzkopf, and Loctite. Founded in 1876 and headquartered in Düsseldorf, Germany, it is publicly traded in Frankfurt.