Developer Data and Financial Analysis
Pubblicato il 20-10-2026 - Prometeia in Modena
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 * ETL Pipeline Creation: Design, develop, and optimize pipelines for data extraction, transformation, and loading, ensuring efficiency and reliability * Development of Data Analysis Tools: Contribute to the creation of calculation libraries and custom tools for data processing and modeling * API Implementation: Design and develop RESTful APIs to enable integration and secure access to data from other systems or applications * Collaboration with the Data & Analytics Team: Support colleagues in implementing scalable, data-driven solutions by understanding their needs and proposing innovative approaches * Maintenance and Improvement of Existing Solutions: Test, document, and optimize implementations to ensure robustness, scalability,
and high performance * Exploring New Technologies: Contribute to business innovation by adopting cutting-edge tools and methodologies for data management * Python Knowledge: Experience in Python for developing data-oriented applications and automations * SQL Proficiency: Expertise in SQL for querying, manipulating, and managing data * Problem-Solving Attitude and Rapid Learning Ability: Ability to learn new technologies quickly and solve problems effectively * Teamwork and Good Communication Skills: Ability to collaborate within a team and communicate effectively EDUCATION AND EXPERIENCE * Master's degree with good grades in Computer Engineering, computer science, economics/finance, statistics, engineering, mathematics is required * Knowledge of Python for developing data-oriented applications and automation. * Proficiency in SQL for querying, manipulating, and managing data. * Problem-solving attitude