Bvlgari Data Engineering Intern
- Location
- Neuchâtel Neuchâtel Switzerland
- Employment
- Internship
- Seniority
- Intern
- Department
- IT & Technology Systems
- Industry
- Fine Watches & Horology
- Posted
- Oct 6, 2026
About Bvlgari
Founded in Rome in 1884, Bvlgari is one of the world’s most distinctive luxury houses, celebrated for its bold Italian creativity, exceptional craftsmanship, and mastery of jewellery, watches, accessories, fragrances, and hospitality. As an employer, Bvlgari offers a refined, international environment where heritage and innovation meet, inviting talent to contribute to a culture of excellence, entrepreneurial spirit, and client-centric elegance. The Maison values diverse expertise, from artisanal savoir-faire to retail leadership and corporate functions, and encourages professional growth within the wider LVMH ecosystem. Working at Bvlgari means joining a Roman-born brand with a global vision and an enduring passion for beauty.
Bvlgari is seeking a Data Engineering Intern for a six-month, full-time, on-site internship starting in March 2027, based in Neuchâtel. Reporting to the Data & Business Intelligence Manager, the intern will build and optimise data pipelines and contribute to the evolution of the data architecture.
Role & Responsibilities
- Design, develop and maintain robust ETL processes to feed the data warehouse.
- Develop and optimise technical solutions to address concrete business needs.
- Contribute to the integration, cleansing and transformation of large volumes of data.
- Collaborate with data analytics and data science teams to meet data infrastructure and data provisioning needs.
- Stay curious about new technologies and methods in data engineering.
Qualifications
- Currently pursuing a Master's degree or a recent graduate in computer science, data science, software engineering or a related field.
- Proficiency in Python.
- Strong knowledge of SQL Server and relational databases.
- Basic knowledge of ETL processes and data modelling.
- Analytical and proactive mindset, with a strong appetite for technical challenges.
- Excellent communication and teamwork skills.
- Fluency in French and English.
Skills
Experience
Entry-level
Education
Higher education; currently pursuing a Master's degree or a recent graduate in computer science, data science, software engineering or a related field.
Workplace
This position is based in Neuchâtel, Neuchâtel, Switzerland.
Benefits
A stimulating internship in the luxury watchmaking sector; the opportunity to work with a young, dynamic team in a highly collaborative environment; a supportive, learning-oriented workplace focused on mentoring and professional development; a company culture that values innovation, autonomy and initiative.
Culture
Bvlgari fosters a dynamic, multicultural workplace where Italian heritage, Roman creativity, and exceptional craftsmanship shape every aspect of the employee experience. The Maison encourages entrepreneurship, collaboration, and a passion for excellence, offering teams the opportunity to contribute to a bold luxury vision across jewelry, watches, fragrances, accessories, and hospitality.
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.
Frequently Asked Questions
The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Bvlgari, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Data Engineering Internship», «Data Engineering Trainee», «Junior Data Engineer», «Data Pipeline Intern», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.