Job Summary
Keyrus is looking for a DevOps & DataOps Engineer . The ideal 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
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
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
~ Competitive salary based on your skills & experience and according to the Data market practice
~ Meal allowance of €10.20 per day
~ Versátil benefits option
~ Private Medical Insurance
~22 days of annual leave (increasing every 3 years up to a maximu

📌 Devops & Dataops Engineer (Madrid)
🏢 Keyrus
📍 Madrid