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

esentri AG

München, Bayern, Deutschland
Published Nov 12, 2025
Full-time
No information

Job Summary

This role as a (Senior) Data Engineer places you at the intersection of strategic Data & AI initiatives, focusing on transforming raw data into actionable knowledge for clients across Enterprise and Industrial Analytics. You will be instrumental in consulting customers on the design and implementation of robust data platforms, which serve as the foundation for advanced Data Science and Machine Learning projects. Day-to-day responsibilities include the conception and deployment of modern data architectures, such as Data Lakes, Data Warehouses/Lakehouses, ELT processes, Streaming Analytics, and MLOps, primarily leveraging major Cloud environments. The ideal candidate possesses a degree or training in IT, coupled with several years of practical experience in Data Engineering, including proficiency with Infrastructure as Code frameworks like Terraform. This position is attractive due to its focus on ethical responsibility, commitment to knowledge sharing, remote work flexibility, collegial leadership structure, and extensive opportunities for personal and professional development through exciting projects and continuous learning camps.

Required Skills

Education

Completed vocational training or university degree in IT; alternatively, career changer with professional IT experience.

Experience

  • Several years of practical professional experience in Data Engineering (building ELT pipelines, Data Warehousing, Streaming Analytics)
  • Experience using and providing data services on major Cloud platforms
  • Experience in Business Intelligence and Data Warehousing
  • Experience/knowledge in Data Science and Machine Learning (beneficial)

Languages

German (Fluent)

Additional

  • Openness to occasional travel to clients.