Data Science Engineer ‏ (d/f/m)

  • Henkel AG
  • Düsseldorf, Germany
  • 27/04/2022
Full time Data Science Data Engineering Big Data Data Management Software Engineering

Job Description

Job Description

employment type
full time

Full job description

At Henkel, you can be a game changer and craft your career. Unleash your entrepreneurial spirit by bringing your ideas to life within a global team. Our leading brands and technologies, along with our high-performing businesses will provide you with countless opportunities to develop your skills and explore new paths. Your career at Henkel will contribute to a more sustainable future, while you grow within our vibrant, diverse culture of trust and belonging. If you're up to challenging the status quo, join our team of pioneers and make your mark on the future with us.

Do you dare to make an impact?


  • 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 modelling, 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 (eg ADF) and distributed computation frameworks (eg 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/CD)
  • Fluent in English; German language skill is a plus

Henkel is an equal opportunity employer. We evaluate qualified applicants without regard to gender, origin, culture, mindset, generation, disability, religion and sexual orientation.

JOB ID: 21022882
Contract & Job type: Full Time, Regular
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