Data & ML Ops Engineer

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We are looking for a Mid/Senior Data Engineer to develop and optimize calculation engines from development to release in production, supporting our customers in their transition to the Cloud. If you are passionate about new technologies, like solving complex problems, and want to work in a dynamic and stimulating team, this is the perfect opportunity for you!

What we are looking for:

• Excellent knowledge of Python and TDD programming
• Experience with relational databases (Postgres, MySQL…)
• Mastery of major operating systems (Windows, Linux)
• In-depth knowledge of code versioning tools
• In-depth knowledge of containerization tools with Docker
• Experience with Cloud services like AWS, GCP, or Azure

Soft skills:

• Ability to work in a team and autonomously
• Curiosity, proactivity, and willingness to experiment with new technologies
• Problem-solving and priority management skills
• Attitude to support junior figures

Nice to have:

• Familiarity with Data Governance concepts
• Ability to develop code according to Clean Code best practices
• Cloud certifications/attestations
• Knowledge of Kubernetes

What will you do?

• Engineering calculation engines for release in production systems
• Supporting customers in migrating their operations to Cloud systems

What we offer:

• A young and stimulating environment. You will find a growing team with an average age of around 35 years and an inclusive and open atmosphere. Your ideas count here: we love experimentation and believe in the value of collaboration to achieve concrete and innovative results.
• Continuous professional growth. We believe in talent and enhance it through personalized training plans. You will have the opportunity to develop advanced skills in the DevOps and Machine Learning world.
• Innovative projects and concrete impact. You will work on challenging projects with a tangible impact on companies in different sectors.
• Flexibility and well-being. We know that the best work comes from a healthy balance between private and professional life. That's why we offer a hybrid mode, with flexible hours and ample possibility of working remotely, because we believe in productivity based on work quality, not on the number of hours spent in the office.

If you think you have the skills and enthusiasm to take on this challenge, send us your CV! We are waiting for you in our team to make a difference!