Описание
Henkel's Data Engineering Enablement team is part of the Henkel Data Platform organization.
Задачи
•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
Требования
•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
Условия
•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
