Full-Stack Engineer in Training: Geospatial & ML

Mybookinou; Paris; Sur place; EUR 13 000 - 20 000; Plein temps

Résumé du poste

Mybookinou is seeking a Full Stack Engineering Apprentice to contribute to the Symbiose Platform, a customer-facing application delivering environmental intelligence. You will work in an alternance program, collaborating with senior engineers, remote sensing specialists, and data scientists to blend academic learning with production experience.

You will contribute to both backend and frontend, gradually taking more ownership of features and tasks as you grow.

Qualifications

• Pursuing or recently completed a degree in Computer Science, Software Engineering, Data Engineering, or a related field.
• Hands-on experience in full stack development (academic or personal projects).
• Familiarity with JavaScript/TypeScript and modern frontend frameworks (React preferred).
• Basic understanding of APIs and databases.
• Exposure to SQL or relational databases (PostgreSQL a plus).
• Comfortable working in English in a technical environment.

Responsabilités

• Contribute to backend and frontend development under guidance of senior engineers.
• Assist in integrating geospatial, remote sensing, or ML outputs into APIs and web apps.
• Develop and maintain data pipelines and ETL workflows.
• Build and improve web interfaces using React and TypeScript.
• Support integration of geospatial visualization tools (Mapbox GL or equivalent).
• Write clean, well-documented, tested code.
• Participate in code reviews, QA testing, and agile cycles.
• Learn and apply best practices in cloud-native, scalable software development.

Connaissances

Full stack experience

React & TS

APIs

Databases

SQL/PostgreSQL

Formation

Pursuing or completed CS/SE/Data Eng degree

Description du poste

Mybookinou is seeking a Full Stack Engineering Apprentice to contribute to the Symbiose Platform, a customer-facing application delivering environmental intelligence. You will work in an alternance program, collaborating with senior engineers, remote sensing specialists, and data scientists to blend academic learning with production experience.

You will contribute to both backend and frontend, gradually taking more ownership of features and tasks as you grow.