Germany, Düsseldorf, DX

Data Science Engineer (d/f/m)


At Henkel, you can make a difference and craft your career. That’s why you own your projects and take full responsibility from an early stage. Our unique brands in markets around the world open up countless opportunities to follow your convictions and explore new paths. If you have an entrepreneurial mindset that allows you to always think out of the box - take the chance and shape the digital future together with us.


  • Generate value from data by increasing, integrating, enriching, and distributing
    Henkel’s data-asset
  •  Design, develop, and operate scalable and robust data pipelines using state-of-the-art
    data engineering practices. Advice and consult business to use data efficiently
  • Develop and operate scalable, agile, quality-first data platforms (DataOps) and enable
    sustainable data science deployment solutions (MLOps)
  • Be part of a team of data professionals in the Data & Analytics department. Advance the
    team with your expertise and extend and deepen your knowledge by strong
    collaboration within the team
  • Actively participate in cross-functional teams using agile methods to deliver high
    quality data products at a fast pace
  • Establish yourself as a reliable, creative, and positive partner across business to enable
    and identify data potential


  • Master’s degree in a computer science or other STEM field; PhD is a plus
  • Minimum 5 years of relevant experience in a data engineering environment
  • Extensive hands-on experience in cloud data ecosystems; covering data ingestion, data
    modeling, and data provisioning to consumers and downstream systems
  • Excellent coding skills in relevant languages (e.g. SQL, Python, C#, Scala). Experience in
    ETL/ELT design, data and interface specifications, quality assurance and testing methods.
    Deep knowledge of data pipeline orchestration (e.g. ADF) and distributed computation
    frameworks (e.g. Azure Synapse, Spark)
  • Experience in implementing DataOps and MLOps concepts
  • Proven track record of delivering value from data. Experience in building robust,
    scalable, high-quality data products in iterations and integrating them into existing and
    new data-pipelines
  • Experience with agile methodologies in a professional development environment (CI/
  • Fluent in English; German language skill is a plus
JOB ID: req15883
Contract & Job type: Full Time, Regular
Contact information for application-related questions: