Job Summary
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Keyrus is looking for a DevOps & DataOps Engineer. The idóneo candidate demonstrates strong technical expertise in cloud infrastructure, containerization, and Python-based automation, combined with a deep understanding of data platforms and data pipeline reliability.
We value professionals who are detail-oriented, autonomous, and impact-driven, with strong communication and problem-solving skills, ensuring that together we continue to transform data-driven possibilities into reality.
Location
Portugal
Note
All applications/CV’s must be submitted in English.
Key Responsibilities
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- Design, maintain, and stabilise cloud-based infrastructure supporting data platforms across AWS and Azure, ensuring high availability and reliability of Python-based data pipelines
- Lead the modernisation of infrastructure, migrating from Docker Compose on virtual machines to Kubernetes-based environments (AKS/EKS) using GitOps and CI/CD best practices
- Troubleshoot and resolve issues at the intersection of infrastructure, Python services, APIs, and databases, ensuring end-to-end data pipeline continuity
Requirements for the role
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- Proven experience in DevOps, DataOps, or Platform Engineering roles supporting data platforms (e.g., Airflow, Dagster, Informatica, or custom Python ETL frameworks)
- Strong hands-on experience with Docker, Linux (Debian/Ubuntu), cloud environments (AWS/Azure), and Python scripting/debugging
- Experience with Kubernetes is a strong plus
- Solid understanding of data infrastructure concepts, including SQL databases (PostgreSQL, SQL Server, Snowflake), connectivity, drivers, and performance troubleshooting
- Must be a Portuguese or European citizen or have a work permit for Portugal
What we offer at Keyrus Portugal
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- Competitive salary based on your skills & experience and according to the Data market practice
- Mea
📌 DevOps & DataOps Engineer (Madrid)
🏢 Keyrus
📍 Madrid