onsite
Senior Data / Machine Learning Engineer - Eurowings
ML Engineer
Senior engineer who designs and implements scalable data pipelines, transforms raw data into production‑ready features, and builds MLOps infrastructure to deploy, monitor and scale machine‑learning models.
About the role
Key Responsibilities
- Architect and maintain end‑to‑end data pipelines using Spark, Airflow, and SQL to ingest, clean, and transform large‑scale datasets.
- Design and implement feature engineering workflows that feed production‑grade ML models.
- Build, containerize, and orchestrate MLOps components with Docker and Kubernetes for reliable model deployment and scaling.
- Develop monitoring, logging, and alerting solutions to ensure model performance and data quality in production.
- Collaborate with data scientists, product owners, and infrastructure teams to translate business requirements into robust, reproducible data and ML solutions.
Requirements
- 5+ years of professional experience in data engineering and machine‑learning engineering.
- Strong proficiency in Python, SQL, and big‑data frameworks such as Apache Spark.
- Hands‑on experience with workflow orchestration tools (e.g., Apache Airflow) and container technologies (Docker, Kubernetes).
- Solid understanding of cloud platforms, preferably AWS, and experience deploying ML models in a cloud environment.
- Demonstrated ability to design scalable, maintainable pipelines and MLOps infrastructure from prototype to production.
Skills
pythonsqlapache sparkdockerkubernetesaws