Germany, Düsseldorf, DX

Lead 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.


  • Lead and develop a team of data science engineers and provide technical and functional mentorship to advance your group’s specialization
  • Take pride to solve the toughest business challenges and deliver high quality data products
  • Lead cross-functional product teams
  • Use agile methods and establish an environment of constant learning, integrity, and mutual responsibility
  • Be passionate about exploring emerging technologies and leveraging their full potential
  • Collaborate with business and data scientists to productionize data projects
  • Have a clear understanding of business goals and derive data engineering objectives
  • Translate objectives into a project plan for your team covering data collection, data use, and data provisioning
  • Keep scalability, robustness and maintainability in focus
  • Continuously evaluate the results and performance together with business stakeholders
  • Establish yourself as a data science engineering ambassador (d/f/m) across business units and functions


  • Master’s degree in a computer science field, mathematics, or similar; PhD is a plus
  • Minimum 8 years of relevant experience in a data engineering or data platform environment
  • Proven track record of delivering data science projects from prototype to value generating product
  • Experience with agile development methodologies
  • Extensive hands-on experience with data products in cloud ecosystems
  • Excellence software engineering skills in a common data science language (e.g. Python)
  • Advanced knowledge of distributed computation frameworks (e.g. Spark)
  • Experience in specifying and executing DataOps and MLOps concepts
  • Confidence in modelling structured and unstructured data in cloud ecosystems (e.g. Azure)
  • Fluent in English; German language skill is a plus
  • Ability to collaborate closely with non-technical teams
  • Proficiency in mentoring and guiding data engineers
  • Entrepreneurial mind-set
JOB ID: 21016268
Contract & Job type: Full Time, Regular
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