Data & MLOps Engineer (Mid-level) m/f

📋 Description

• Design, build, and operate production data and ML pipelines.
• Collaborate with data scientists, software engineers, and cloud specialists.
• Deliver secure, scalable data and ML services across lifecycle.
• Develop APIs and batch services exposing data products and ML capabilities.
• Build and maintain CI/CD pipelines for data and ML solutions.
• Deploy containerized workloads with Docker, Kubernetes, and cloud services.

🎯 Requirements

• 3–5 years in Data Eng, Software Eng, Cloud Eng, or MLOps.
• Python and SQL proficiency; REST APIs and software engineering basics.
• ETL/ELT pipelines with Airflow, Azure Data Factory, AWS Glue, Databricks, dbt.
• Hands-on MLOps: packaging, serving, tracking, lifecycle management.
• Azure and/or AWS cloud experience.
• Docker; Kubernetes and Helm knowledge is a plus.

🎁 Benefits

• Flexible approach to work/life balance.
• In-person collaboration with clients and teams.