Job Summary

Our Marketing Technology (“Martech”) team is creating data-driven solutions that revolutionize and facilitate how Marketing operates. This involves data feeds, business insights, and analytical and machine learning models, along with other data products pushing marketing performance and automation.


  • Work with the product manager and other data engineers in enhancing our data platform on AWS
  • Work with data scientists and marketing stakeholders in building scalable machine learning models that leverage our data
  • Build analytical workflows (e.g. custom user experiences, personalization, automated A/B testing)
  • Design, implement and maintain batch, near time and real-time data processing pipelines
  • Develop validation frameworks, proactive monitoring solutions to detect abnormalities
  • Review your peers’ designs and code to ensure quality
  • Suggest new technologies and architectures to improve the data platform


  • University degree in Computer Science, Mathematics, Physics or a related area
  • 1-2 years working on projects using Scala with data processing frameworks (preferably Spark)
  • Solid Knowledge of SQL
  • Understanding of Data Warehouse concepts and modelling
  • A passion for emerging technologies
  • Experience with AWS services 
  • Exposure to e-commerce is preferable
  • Willingness to mentor team members in terms of best practices, code quality and tech frameworks


  • The chance to make an impact
  • The opportunity to work alongside a highly motivated team of professionals
  • An open-minded culture ready to incorporate new and creative ideas
  • International colleagues from over 30 different countries
  • Benefits including employee discounts on our entire assortment, team events, free fruit and drinks, German language classes and more
  • If you don‘t have a work permit for Germany you can still apply for all positions that are advertised. If your application is successful, we will support you in all stages of the visa process.


Since 2009, we have revolutionized the way you can buy furniture, lamps and home accessories. 



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