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# Senior Data Engineer - Data Platform

- **Company:** Henkel AG & Co. KGaA
- **Location:** Düsseldorf, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Microsoft Azure, Continuous Integration, Information Engineering, Data Infrastructure, Distributed Data Store, Python (Programming Language), DataOps, SQL Databases, Backend, AI Platforms, Information Technology, Data Pipelines, Databricks
- **Published:** September 25, 2026
- **Apply:** https://www.careerjet.de/jobad/de6d264db13691dc686716a5618dc9cc43

## About the Role

* University degree in a computer science or other STEM field
 * Minimum 5 years of relevant experience with data engineering in an Azure and/or Databricks environment as well as experience with SQL and Python development
 * Minimum 5 years of experience working with data orchestration tools (e.g., Airflow, Dagster, Prefect), with hands-on experience in Dagster preferred
 * Background in agile development practices and in-depth experience with CI/CD and DataOps
 * Proven track record in building robust, scalable, high-quality data products
 * Fluent in English

## Description

About this Position You will be part of the Data Engineering Enablement team, one of the six teams that make up the Henkel Data Platform organization.
What you´ll do

 * Are you interested in creating value from data?
 * Build the backend services, tooling and frameworks used by all data engineers across Henkel dx
 * Design, develop and operate scalable and robust data pipelines and source system integrations
 * Advance the team with your expertise in state-of-the-art data engineering practices
 * Collaborate with other data platform teams to deliver a user-centric, self-service distributed data and AI platform
 * You can shape your career with various trainings, rotation and development programs while enjoying several employee benefits, we have at Henkel


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