Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills?

Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world.
RESPONSIBILITIES:
• Develop and optimize software solutions using Python.
• Handle and analyze large datasets using Pandas and NumPy libraries.
• Write SQL queries for querying and managing relational databases (SQL Server).
• Collaborate with project teams to identify client needs and implement the most suitable solutions.

REQUIREMENTS:
• Up to 3 years of experience in a similar role, or a highly motivated recent graduate with relevant academic projects or internships.
• Degree in Computer Science, Software Engineering, or a related field.
• Strong proficiency in Python development.
• Excellent knowledge of Pandas and NumPy libraries for data processing.
• Good knowledge of database query languages (SQL Server and PostgreSQL).




• Familiarity with the processes and requirements of the financial industry.
• Excellent interpersonal skills and ability to communicate with both technical and non-technical teams.
• Knowledge of security best practices for cloud environments.
• Good command of written and spoken English.

PREFERRED SKILLS:
• Additional certifications in Microsoft Azure or AWS.
• Familiarity with Agile or DevOps methodologies.
• Familiarity with distributed data processing tools such as SparkSQL and PySpark.
• Ability to develop scripts in PowerShell and Bash.
• Experience in Azure development and cloud services.
WHAT WE OFFER:
COMPENSATION, WELFARE & AGEVOLAZIONI
Our history, as well as the future, is based on the value of our people. The biggest investment at Prometeia is in our people, and it concerns every aspect of professional life. We call it 'Total Compensation' and is made up of Compensation - consisting of a fixed and a variable co

📌 Python Engineer (Milano)
🏢 Prometeia
📍 Milano