(Senior) Data Engineer | (Senior) Data Engineer (all genders)
esentri AG
Job Summary
This role is for a (Senior) Data Engineer and Consultant focused on driving the strategic 'Data & AI' dimension across Enterprise Analytics and Industrial Analytics sectors. The primary responsibility involves advising and supporting clients in the conceptualization and implementation of robust data platforms, which form the foundation for advanced Data Science projects. Key day-to-day tasks include designing and deploying Data Lakes, Data Warehouses/Lakehouses, ELT processes, Streaming Analytics, and MLOps solutions, primarily leveraging major cloud platforms (AWS, Azure, Google Cloud). Candidates must bring several years of practical experience in Data Engineering, including proficiency with Infrastructure as Code frameworks like Terraform. This position is ideal for professionals seeking continuous development, offering flexibility, remote work options, a non-hierarchical structure based on collegial leadership, and the opportunity to apply modern analytical methods to solve relevant customer problems while upholding ethical responsibility.
Required Skills
Education
Completed vocational training or university degree in IT; alternatively, career changer with professional experience in IT.
Experience
- Several years of practical professional experience in Data Engineering (setting up ELT pipelines, Data Warehousing, Streaming Analytics)
- Experience using and providing data services on major cloud platforms (AWS, Azure, Google Cloud)
- Experience with Infrastructure as Code frameworks (e.g., Terraform)
- Experience in Business Intelligence and Data Warehousing
Languages
Additional
- Openness to occasional travel to clients; High affinity for modern IT technologies; Clear understanding of self-organization.
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