Full Stack Developer - Data Factory (f/m/d)

Worldwide | Oct. 9, 2026

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Company: Decathlontechnology

Country: Worldwide

Type: Onsite

Employment: Full-time

Description:

The DECATHLON Data Platform team is looking for its future Full Stack Developers based in Lille/Paris.

At the heart of the Decathlon Digital entity, we are looking for our future Full Stack Developers to join the Data Factory teams.

This technological platform, global for the entire group internationally, supports the development of the use of Data at Decathlon, from calculating turnover to the design of innovative products.

We operate a cutting-edge Modern Data Stack, with a Lakehouse as our center of gravity. Our mission? Guarantee scalability, automation and excellence in development practices for all of our communities (Data Engineers, Analysts, Scientists).

Your future playground

The Data Factory is organized into expert teams, each led by a Tech Lead & Product Manager. Depending on your profile and your affinities, you will join one of our collectives:

🎨 UserXP (User Experience) Team

You are the interface between the platform and its users. Your role is to design tools and workflows that simplify the lives of data developers, with an emphasis on ergonomics and operational efficiency.

📥 Ingestion Team

Your goal: to make data ingestion “seamless”. You develop and maintain our internal solutions (DFI - Data Factory Ingestion) to guarantee a fluid, standardized and automated data flow to the data lake.

TECHNICAL STACK

• A full cloud environment (AWS-GCP)
• Kubernetes, with full CI/CD (Flux, Github Action...)
• S3, Redshift, PostgreSQL, GCS, BigQuery
• EMR, Databricks, AWS Athena
• Airflow  
• Jira/Confluence, GitHub
• Languages: (at least 2 of): Python, Java, JavaScript/TypeScript
• Frameworks/Libraries: React, Angular, Vue.js, Spring, Django, Flask, etc.

YOUR FUTURE CONTRIBUTION

You will be in charge of:

• Design, develop and maintain front-end and back-end components of the data platform, with a focus on developer experience and automation.
• Contribute to the implementation of a self-service data platform, by providing tools and services that simplify the development, deployment and operation of data solutions.
• Develop robust and scalable APIs and services for data access and manipulation.
• Implement intuitive user interfaces for data platform tools and services.
• Automate development, testing and deployment (CI/CD) processes to ensure fast and reliable delivery.
• Work closely with the Data Science, Data Engineering and Ops teams to understand their needs and respond effectively.
• Participate in technological monitoring and propose innovative solutions to improve the data platform.
• Learn and apply best practices for software development, testing and documentation.