Scout24 operates leading digital marketplaces in Germany and other selected European countries. ImmobilienScout24 and AutoScout24 are the main operations under the Scout24 brand. ImmobilienScout24 is the leading digital real estate classifieds platform in Germany, based on consumer traffic and time spent as well as customer numbers and8       listings. AutoScout24 is a leading automotive digital classifieds platform in Europe, in terms of unique monthly visitors and listings. With our digital marketplaces we are inspiring people’s best decisions. Our purpose is to connect people with cars and homes. More than 1,000 employees in Germany and across Europe work on offering value to our consumers and customers. For more information, please visit:



Data Product Engineer (m/f)

Berlin, Full Time


Data Science and Machine Learning is at core of the new generation of advanced data products for Scout24. However creating the architecture surrounding the data models stretched the basic skillset of Data Scientists and requires support from dedicated Data Engineers. With the stronger orientation given to the Data Science team toward a Data Product team, it becomes clear that dedicated Data Engineers need to join this team full time. We are therefore transforming the role of Data Science Team Lead into a role of Data Product Engineer. Given that within the next 6 to 9 months the focus of the AutoScout24 teams will not allow any new feature development, it makes also sense to open this position in Berlin where the main part of the coming data product development will be.


What we need from you:

  • Design and build a scalable and cloud-based architecture for Data Products
  • Incorporate Machine-Learning models into products (with the help of Data Scientists)
  • Strong desire to learn about new trends and technologies
  • Work collaboratively with cross-functional Teams to build new Data Products


What we need you to bring:

  • University Degree in Computer Science or any other relevant subject
  • Business-proven experience about implementing and scaling architecture for data products
  • Experience with Big Data Environment (e.g. Hadoop, AWS, EMR)
  • Experienced with Analysis Tools for big datasets (e.g. Python, R, SQL, Spark)
  • Experience with Machine Learning based products
  • Experience with Streaming Tools is a plus (e.g. Kinesis, Kafka) 
  • Logical and analytical thinking with a high degree of consciousness for data quality
  • Conscientious and autonomous working (You work independently, are meticulous, motivated and dependable and able to work under pressure)
  • You enjoy working with large amounts of data. You are able to acquire data from various databases and evaluate it using analysis software and your own criteria
  • Solid experience in data modelling, resilient engineering
  • Fluency in English, German is a plus


What you can expect from us:

At Scout24 we value the diversity of our employees as much as our users’ individual life scripts. Our doors are open for everyone and free of stereotyped thinking. The power of our team grows with the variety of individual perspectives. Our culture embraces a workplace that fits in with your personal way of life. Together, we build leading digital marketplaces in Europe. Some of the things we offer include:

  • An environment that provides the opportunity for impact you would find in a start-up combined with the resources of a market leader
  • Competitive salaries, an attractive company pension plan and personal benefits such as gym membership discount as a start
  • Great work-life balance, including flexible working hours, home office and 30 days of vacation annually
  • A commitment to diversity and a positive environment where we are not just colleagues but teammates and friends
  • Continuous development including skills training, language courses, and many other workshops and sessions
  • Our on-site canteen, fresh fruit, free drinks and more
  • Got curious? Then take a look behind the scenes:

We want to hear from you, so apply directly online. Or else, if you have any questions regarding your application, please send an email to

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