Senior Data Engineer

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

Do you have experience in SQL?, * 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

Pulled from the full job description

• Work from home
• Flexible schedule, * Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
• Diverse national and international growth opportunities
• Global wellbeing standards with 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