Jaeger LeCoultre Data Engineer Intern

About Jaeger LeCoultre

Jaeger-LeCoultre, founded in 1833 in the Vallée de Joux, is one of Switzerland’s most revered watchmaking manufactures and a maison defined by invention, precision, and discreet elegance. As an employer, it offers a rare environment where artisans, engineers, designers, and commercial talents collaborate across more than 180 specialist skills, from movement development and grand complications to métiers d’art and client experience. Within the Richemont group, the maison combines heritage with international reach, encouraging rigorous craftsmanship, continuous learning, and respect for time as both a technical measure and a cultural value. Its teams contribute to enduring creations shaped by excellence, curiosity, and shared responsibility.

Role & Responsibilities

• Analyse and document the current Business Intelligence solution (Cognos and SAP), including architectural assessment and user requirements gathering to identify improvement opportunities
• Design and build robust, high-performance data ingestion pipelines using Talend with architecture design on GCP BigQuery
• Implement complex data transformations and optimizations using the dbt framework while ensuring data quality, compliance, and consistency
• Create, deploy, and maintain interactive and intuitive dashboards in Looker with key performance indicators (KPIs) to support business decision-making
• Conduct technology monitoring and explore emerging Data Engineering trends to propose innovative solutions for continuous process optimization
• Collaborate daily with technical and non-technical stakeholders whilst adopting structured agile practices

Qualifications

• Master's student in engineering school or equivalent university programme with specialization in Computer Science, Data Science, or related field
• Strong command of SQL, databases, and data modelling concepts including Data Warehousing principles
• Demonstrated interest in or practical experience with modern data stack tools: Talend, BigQuery, dbt, Looker
• Knowledge of software development principles (Python or equivalent scripting language)
• Familiarity with version control tools (Git) and Agile methodologies (Scrum, Kanban)

Skills

Experience

Academic background in computer science or data science with demonstrated interest in data engineering; practical experience or strong theoretical knowledge of ETL processes and business intelligence solutions is advantageous.

Education

Master's student in engineering school or equivalent university programme with specialization in Computer Science, Data Science, or related discipline.

Workplace

Benefits

Attractive internship stipend; personalized mentorship to develop data engineering expertise; opportunity to work on a high-impact strategic project; stimulating, collaborative, innovation-focused work environment.

Culture

Jaeger-LeCoultre fosters a culture rooted in exceptional watchmaking savoir-faire, precision, and a deep respect for its heritage in the Vallée de Joux. As an employer, the Maison encourages collaboration between artisans, engineers, and creative talents, offering an environment where innovation and mastery are pursued with patience, rigor, and elegance.

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.