INTERNSHIP 6 MONTH - From July 2026 - Data Engineering, AI & Data Ops – Master ½ - 1700€/mois

Life is too short for a boring career! 🚀

At L’Oréal Groupe, work doesn't mute you, it amplifies you. We believe your career should give you the same thrill, drive and fulfillment as your personal interests. Here, creativity drives innovation and ideas become impact. Grow across brands, markets, and divisions, and take your career in any direction you choose. With the global scale of L’Oréal, your growth knows no boundaries.

87% of our interns are proud to work within the L'Oréal Group.

90% of our interns recommend L'Oréal for an internship.

(Internal "Care Connect Survey" November 2025)

Ready to live this unique experience? Don't waste any time and discover our offer.

We are looking for an Intern / Apprentice to join our team and contribute to the development of our Data Engineering Toolkit.
 This role offers hands-on exposure to Data Engineering, AI, Data Ops, and Solution Architecture in a cloud-based environment.

Intern – Data Engineering, AI & Data Ops

We are looking for an Intern / Apprentice to join our team and contribute to the development of our Data Engineering Toolkit.
 This role offers hands-on exposure to Data Engineering, AI, Data Ops, and Solution Architecture in a cloud-based environment.

Your missions:

• Contribute to the development and continuous improvement of the Data Engineering Toolkit 
• Support data engineering activities such as data ingestion, transformation, validation, and automation 
• Participate in AI and Data Ops initiatives to improve the reliability and scalability of data solutions 
• Assist in the definition and documentation of solution architectures 
• Help create reusable technical assets, standards, and best practices 
• Collaborate with technical stakeholders in a transversal and fast-paced environment 

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