Consultant Data Engineer

📋 Description

• Cloud Services at GCP, AWS and Azure: architecture choices, use of storage & compute services
• Docker and Kubernetes: containerization & orchestration of applications, management of K8s
• Python programming: development of server-side tools (bulk data processing, REST API server
• CI/CD: managing the integration and ongoing deployment of our applications and internal platforms
• Data pipelines: development of ETL scripts in Big Data environments
• Infrastructures & Services adapted to Machine Learning: technology watch and implementation of

🎯 Requirements

• Master's Degree with a strong quantitative component (e.g. Econometrics, Physics, Mathematics
• 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering
• Good level in Python and solid foundation in other languages; familiar with at least one SQL DBMS
• Familiar with at least one cloud services platform (GCP, AWS, Azure) or strong appetite to learn
• Comfortable using Docker, automating CI/CD pipelines, and strong appetite for gaining competence in
• Ability to work in DevOps culture, taking responsibility for code lifecycle; familiarity with

🎁 Benefits

• Flat structure
• Entrepreneurial spirit
• Opportunity to shape the future of the Data Science team