data engineer for distributed data and AI platforms

Henkel’s Data Engineering Enablement team is part of the Henkel Data Platform organization.

• Build backend services, tooling, and frameworks used by data engineers across Henkel dx;
• Design, develop, and operate scalable, robust data pipelines and source system integrations;
• Advance the team’s data engineering practices with expertise;
• Collaborate with other data platform teams to deliver a user-centric, self-service distributed data and AI platform.

• University degree in computer science or another STEM field;
• At least 5 years of relevant data engineering experience in an Azure and/or Databricks environment;
• At least 5 years of experience with data orchestration tools such as Airflow, Dagster, or Prefect;
• Experience with SQL and Python development;
• Background in agile development practices and in-depth experience with CI/CD and DataOps;
• Proven track record of building robust, scalable, high-quality data products;
• Fluent in English;
• Nice to have: Hands-on experience with Dagster.

• Flexible hours;
• Work-from-anywhere policy for up to 30 days per year;
• Diverse national and international growth opportunities;
• Health and preventive care programs;
• Gender-neutral parental leave for a minimum of 8 weeks;
• Employee Share Plan with voluntary investment and Henkel matching shares;
• Company Pension Plan 100% financed by Henkel;
• MEGA Preventive Health Insurance;
• CareFlex Supplementary Care Insurance;
• Mobility offer: My Henkel Bike and Jobticket.