Data Engineer - ePowertrain Analytics | Data Engineer - ePowertrain Analytics (m/w/d)

Brunel GmbH NL Stuttgart

Stuttgart, Baden-Württemberg, Deutschland
Published Feb 17, 2026
Full-time
Permanent

Job Summary

As a Data Engineer specializing in ePowertrain Analytics, you will play a pivotal role in developing scalable data models and pipelines using Python, PySpark, and SQL. Your daily responsibilities include the preparation, cleaning, and transformation of large datasets to facilitate advanced analysis and monitoring of field data. You will work closely with quality assurance and development teams to identify error causes and correlations, ensuring the stability and scalability of monitoring platforms. This role is deeply integrated into modern cloud environments, specifically utilizing the Microsoft Azure stack and DevOps methodologies. This position is particularly attractive for professionals looking to combine data engineering expertise with the cutting-edge field of electric drive systems. You will benefit from a permanent contract, flexible working hours through a flextime account, remote work options, and a structured career development program within an internationally recognized engineering service provider.

Required Skills

Education

University degree in Data Science, Computer Science, Information Technology, or a comparable field of study.

Experience

  • Professional experience in developing scalable data models and pipelines
  • Proven experience with Cloud technologies, specifically the Microsoft Azure stack
  • Practical experience in DevOps processes and environments
  • Extensive experience in analyzing large datasets for root cause identification
  • Experience in creating and maintaining technical documentation

Languages

German (Fluent)English (Fluent)

Additional

  • The position is a full-time, permanent role. Remote work options are available. Candidates must be able to work within the Microsoft Azure Stack environment.