Data Engineer & DevOps (m/w/d)
Core
Designing robust data pipelines and managing stable, cost-efficient Azure infrastructure to build a central data foundation.
Role type
Data Engineer & DevOps
Builds
End-to-End data solutions, reliable Azure services, and integrated reporting dashboards
Domain
Cloud Infrastructure & Data Engineering
Deliverable
production ML models | infrastructure | dashboards & analysis
Required skills
Microsoft Fabric, PostgreSQL, Azure DB, Python (Pandas/PySpark), SQL, Dimensional Modeling, CI/CD & Automation, Azure Container Apps, FastAPI, Docker
Preferred skills
Power BI integration, REST-APIs, LLM infrastructure
Responsibilities
Conceive End-to-End data solutions with MS Fabric, Azure DB, and PostgreSQL; Translate business requirements into secure, budget-compliant cloud architectures; Build and optimize data models and operational schemas; Integrate data engineering results into FastAPI backend and Power BI; Ensure infrastructure reliability via Infrastructure & Data as Code and CI/CD pipelines; Act as a bridge between technical and business teams
Seniority
Mid-level (1+ years with Master's or 3+ years with Bachelor's)