Data Scientist / Data Engineer | Data Scientist / Data Engineer (m/w/d)

Franz Kessler GmbH

Bad Buchau, Baden-Württemberg, Deutschland
Published Mar 16, 2026
Full-time
No information

Job Summary

Joining the KESSLER Group, a market leader in motor spindles and electric drives, you will play a pivotal role in processing high-frequency sensor data for advanced machine tool applications. Your day-to-day responsibilities involve managing non-SQL and time-series databases, developing machine learning pipelines, and creating real-time analytical algorithms for industrial PC systems. You will be tasked with interpreting complex data sets using Python to derive actionable insights while ensuring data security and automated quality checks. This position is particularly attractive for those who enjoy the intersection of software and hardware, as you will support the implementation of algorithms directly onto Beckhoff industrial systems. The role offers a long-term perspective in a growing company, complemented by a strong benefits package including professional development opportunities, bike leasing, and comprehensive accident insurance. It is an ideal environment for a proactive professional looking to apply Explainable AI and machine learning models to real-world industrial engineering challenges.

Required Skills

Education

Completed technical degree in Data Engineering, Data Science, Computational Science, Mechanical Engineering, Physics, Electrical Engineering, Mechatronics, Mathematics, or a comparable qualification.

Experience

  • Professional experience in Python and machine learning methods is required
  • Experience in data processing workflows and database management
  • Professional experience is desirable but not strictly mandatory for the right candidate
  • Experience in developing and documenting analytical algorithms and functions

Languages

German (Fluent)English (Fluent)

Additional

  • Must be able to work independently and solution-oriented; high willingness to learn and team-oriented mindset required; specific focus on quality consciousness.