(Senior) Data Engineer | (Senior) Data Engineer (all genders)

esentri AG

Ettlingen, Baden-Württemberg, Deutschland
Published Dec 18, 2025
Full-time
Permanent

Job Summary

This role is central to the 'Data & AI' strategy, focusing on Enterprise Analytics & Sustainability and Industrial Analytics & IoT. The (Senior) Data Engineer will consult and support clients in building robust data platforms that serve as the foundation for subsequent Data Science projects. Day-to-day responsibilities include the conception and implementation of Data Lakes, Data Warehouses/Lakehouses, ELT processes, Streaming Analytics, and MLOps, primarily leveraging cloud platforms. By applying modern Data Engineering techniques, the engineer lays the groundwork for future data-driven enterprises. The ideal candidate possesses multi-year professional experience in Data Engineering, proficiency with major cloud providers (AWS, Azure, Google Cloud), and knowledge of Infrastructure as Code (e.g., Terraform). This position offers significant scope for professional development, remote work flexibility, and the opportunity to contribute to impactful projects while operating within a flat, collegial leadership structure.

Required Skills

Education

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

Experience

  • Multi-year practical professional experience in Data Engineering (building ELT pipelines, Data Warehousing, Streaming Analytics)
  • Experience in using and providing data services on major cloud platforms (AWS, Azure, Google Cloud)
  • Experience in Business Intelligence and Data Warehousing
  • Experience in Infrastructure as Code Frameworks (e.g., Terraform) is advantageous
  • Professional experience in IT (for career changers)

Languages

German (Fluent)

Additional

  • Openness to occasional travel to clients.