Head of Data Science & Engineering (m/f/d)

Ideas need initiative.

Körber Digital shapes and drives the Körber Group’s digital advancement. The Business Area is a nucleus for digital innovation and new digital business models and as such a trusted go-to unit for all topics around the Group’s digitization.

Located in the German start-up hotspot Berlin, Körber Digital matches the speedy entrepreneurial spirit of a start-up with the long-term strategic focus of the Körber Group. Striving for progressive disruption, Körber Digital is at the forefront of the digital revolution of the industry.

The Körber Group is an international technology group with around 10,000 employees all over the world. It unites technologically leading companies with more than 100 production, service and sales locations and offers its customers solutions, products and services in the Business Areas of Körber Digital, Logistics Systems, Pharma Systems, Tissue and Tobacco.

For our location in Karlsruhe we are looking for

Head of Data Science & Engineering (m/f/d)


  • Build, lead and manage a Data Engineering team

  • Mentor team members in the Data Engineering team around technologies and processes and ensure we follow industry best practices

  • Create and maintain the architecture for optimal data-flow

  • Create and process big data sets that meet functional / non-functional business requirements

  • Build the infrastructure required for optimal ETL of data from a wide variety of data sources, using big-data technologies

  • Build analytics tools for our Analysts, Scientist and Product Managers, that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics

  • Ensure best practices around software development within the team

  • Work closely with key company stakeholders and be responsible for the overall planning, actionning and success of projects

  • Enable the games to grow in the future by structuring the data platforms for long-term success by focusing on maintainability, scalability and quality within the code base of the project


  • You must have in-depth knowledge of Data Science (Deep-learning, Machine Learning, Bayesian interface, recommender systems, computer vision, natural language processing, etc.)  and the ability to formulate a deep technical understanding of the technology stack

  • 8+ years of hands-on experience in a senior data science role for a large company or venture-backed start-up where data played a key comparative advantage or was essential to bottom line of the business

  • 3+ years of prior experience in managing data teams

  • Great communication skills to engage with a wide range of stakeholders

  • Outstanding background of forming teams within a fast-paced environment

  • In depth knowledge of how the data landscape and the different departments build a symbiosis

  • Experience designing and building data engineering projects

  • Agile project management skills

  • Experience of making key technical decisions within data engineering

  • Must be proactive, self-directed and organized

  • Ability to quickly get up to speed with existing code

  • Awareness of industry best practices and the ability to apply the right solution to any given problem