Senior Data Engineer with a Flair for AI

ti&m AG

Bern

Key information

What to expect

Development of modern data pipelines in the cloud (Azure) or on-premises
Active participation in projects that connect data and AI: from classic ML to GenAI (RAG, Agentic AI, MCP)
Use of a broad tech stack: Python (PyTorch, scikit-learn, FastAPI, LangChain) complemented by tools like Spark, Pandas, and Airflow
Working with MLOps technologies such as Docker, Kubernetes, Terraform, MLflow, or Azure ML
Customer contact from workshops to the implementation of scalable solutions
Varied daily routine between data analysis, architecture design, and implementation
Collaboration in a motivated, open, and straightforward team – professional and relaxed
Room for further training as well as the opportunity to try new things and learn from each other

What you bring

Degree (FH/University) in computer science or comparable further education
Several years of practical experience in developing data pipelines
Very good knowledge of Python and handling data frameworks (e.g., Pandas, Spark)
Experience with cloud services, preferably Azure
Confident handling of SQL databases
Initial experience with machine learning or GenAI (e.g., PyTorch, scikit-learn, LangChain)
Knowledge in the area of MLOps (Docker, Kubernetes, Terraform, MLflow, Azure ML) is helpful
Experience with workflow tools like Airflow or Hive is an advantage
Familiarity with CI/CD pipelines and GitOps rounds off the profile

We are looking for you – become part of our team