STAGE 6 MOIS - À partir de juillet 2026 - Data Engineering, AI & Data Ops- Master 1/2 - 1700€/mois

Your Profile: - Student in Computer Science, Data Engineering, AI, Cloud Engineering, or a related field - Strong interest in Data Engineering, AI, Cloud, and Solution Architecture - Strong problem-solving skills and a willingness to learn - Good knowledge of systems and networks - Comfortable with basic engineering tools such as Linux, Git, GitHub, and IDEs like VS Code - Familiarity with scripting languages, particularly Python - Good communication skills and ability to work in a collaborative environment - Fluency in French & English. Your technical skills: - Good knowledge of SQL and Python - Familiarity with GCP and/or Azure - Basic understanding of Terraform and Infrastructure as Code - Understanding of data pipeline concepts and Data Ops practices Your Benefits - Remuneration :€1,700 gross per month - Transport:75% of transport costs covered - Remote work:1 day of remote work per week - Leaves :1 day per month L'Oréal Group Perks: Access to the L'Oréal Learning Platform to boost your development, Staff Sale at preferential rates, Friends & Family flash sale for your loved ones. And depending on the campus:Gym & Concierge services. The Recruitment Process - Recruiter interview - 20 min:To introduce yourself and discuss the position & the L'Oréal Group. - Meeting with your potential future manager - 45 min:To discuss the missions of the role. L'Oréal Group Join L'Oréal, the world leader in beauty, present in over 150 countries with a portfolio of 37 international brands across four divisions: Consumer Products, Professional Products, Dermatological Beauty, and Luxury. At L'Oréal, we create beauty that moves, inspires, and unites. Our mission is to invent the future of beauty by combining the best of technology, science, and natural inspiration, and to offer everyone inclusive, responsible, and forward-looking beauty. And because equal opportunities and diversity are strong values within the Group, as a beauty leader, we consider every application. Whatever your gender identity, sexual orientation, visible and/or invisible disability( ies ), social or cultural origins, health status, age, religion, or any other element that makes you unique, our teams will carefully review your profile.