Data Engineer / Cloud-Engineer für Data, AI & MLOps (m/w/d)
Core
Building and evolving modern data infrastructures on Databricks and Azure, integrating data into complex Cloud-Edge environments, and supporting DevOps/MLOps processes.
Role type
Senior Data Engineer / Cloud Engineer (MLOps)
Builds
Data pipelines, Cloud-Edge infrastructure, ML use cases, and containerized applications
Domain
Cloud computing, Data Engineering, MLOps, Azure ecosystem
Deliverable
production ML models
Required skills
Azure Cloud technologies (Data Factory, Data Lake, Machine Learning, Foundry), Databricks, Infrastructure as Code (Terraform), DevOps and CI/CD processes, Data preprocessing, Machine Learning techniques, Kubernetes
Preferred skills
Containerization, Cloud-Edge architecture
Technologies
Databricks, Azure Data Factory, Azure Data Lake Storage Gen2, Azure Foundry, Azure Machine Learning, Azure IoT Hub, Terraform, Kubernetes
