Chanel Data and AI Engineer Intern

About Chanel

Chanel is one of the world’s most revered luxury houses, founded by Gabrielle Chanel and distinguished by an enduring vision of elegance, freedom, and modernity. As an employer, the House brings together métiers ranging from haute couture, fashion and leather goods to fragrance, beauty, watches, and fine jewelry, offering employees the opportunity to contribute to a legacy defined by exceptional craftsmanship and creative audacity. Chanel values excellence, discretion, collaboration, and long-term development, fostering an environment where talent is nurtured and heritage is continually reinterpreted for contemporary clients. Its teams are united by a commitment to quality, innovation, and the timeless spirit of the brand.

Role & Responsibilities

• Develop data solutions across a varied portfolio of projects, primarily on the data platform, in collaboration with technical, adoption, governance, and business teams.
• Build materialized views and metrics views, then develop dashboards or customize Talk to my Data (GenAI) spaces to support business use cases.
• Help migrate selected legacy visualization use cases to the capabilities of the new platform.
• Help refactor legacy applications to improve performance and maintainability, modernize them, and align them with Data Factory standards.
• Participate in agentic AI initiatives to improve the Data Factory’s Build and Run efficiency.
• Gradually take ownership of end-to-end development as skills grow.
• During onboarding, learn the data platform, existing solutions, development patterns, team organization, and current and upcoming transformation initiatives; prepare an observation report identifying potential improvements and any points of uncertainty.
• Help co-create a dedicated backlog that supports progressive development of platform expertise while building responsibility.
• Define an incremental delivery plan and follow-up rituals to guide the internship.

Qualifications

• Bac+4/5 education in an engineering school, university, or specialized master’s program in computer science, data, or statistics.
• Knowledge of modern data analytics fundamentals, including data modeling and batch and real-time data flows.
• Knowledge of SQL, Python, and PySpark.
• Knowledge of GenAI and Agentic AI concepts; significant experience implementing AI solutions is an advantage.
• Knowledge of software development lifecycle processes, including CI/CD and Git/repository.
• Knowledge of Databricks, including Unity Catalog, SDP, AI/BI, Genie, and Agent Bricks, and Microsoft solutions including Azure, DevOps, Power BI, and Fabric.
• Rigor, curiosity, progressive autonomy, and strong interpersonal skills for interacting with all stakeholders.

Skills

Education

Bac+4/5 in an engineering school, university, or specialized master’s program in computer science, data, or statistics.

Benefits

The independence of a creative house that places people at its center; a dynamic environment that pursues excellence while supporting individual development; and opportunities for career progression, growth, and varied career paths.

Culture

Chanel fosters a culture of timeless creativity, exacting craftsmanship, and quiet excellence, where employees are encouraged to uphold the house’s heritage while contributing to its continued innovation. The workplace environment is refined, collaborative, and deeply committed to quality, offering professionals the opportunity to grow within a globally respected maison that values discretion, artistry, and long-term vision.

About Cerulean

Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.