Richemont Analytics Engineer - Operations Transformation
- Location
- Plan-les-OuatesGenevaSwitzerland
- Employment
- Full-Time
- Seniority
- Mid-Level
- Department
- IT & Technology Systems
- Posted
- Jul 5, 2026
About Richemont
Richemont is one of the world’s foremost luxury groups, stewarding a distinguished portfolio of maisons across jewellery, watchmaking, fashion and accessories, including Cartier, Van Cleef & Arpels, Jaeger-LeCoultre and Montblanc. As an employer, it combines the heritage of artisanal excellence with a forward-looking culture shaped by innovation, client-centricity and responsible business. Its global teams operate in an environment that values craftsmanship, entrepreneurship and collaboration, offering opportunities to grow within iconic maisons and group functions alike. Richemont attracts professionals who aspire to contribute to enduring luxury, preserving rare savoir-faire while helping define the future of high craftsmanship.
Richemont seeks an Analytics Engineer in Plan-les-Ouates to lead operations transformation through advanced data engineering and analytics solutions.
Role & Responsibilities
- Design and implement data pipelines and analytics solutions to support operations transformation initiatives
- Develop and optimize data models to enable real-time insights into operational performance across the organization
- Collaborate with cross-functional stakeholders to define data requirements and translate business needs into technical specifications
- Build and maintain data infrastructure and dashboards to monitor key performance indicators and operational metrics
- Conduct data quality assessments and implement governance frameworks to ensure data accuracy and reliability
- Support the evaluation and integration of new analytics tools and technologies into the existing technology stack
Qualifications
- Bachelor's degree in Engineering, Computer Science, Data Science, Mathematics, or related quantitative field
- Proven expertise in data engineering and analytics platform architecture
- Advanced proficiency with SQL and Python or similar data manipulation languages
- Strong understanding of data warehousing concepts and dimensional modeling
- Experience with cloud-based data platforms and ETL/ELT tools
- Demonstrated ability to translate complex business requirements into scalable technical solutions
Skills
Experience
Minimum 5 years of professional experience in data engineering, analytics, or a related field with demonstrated success in designing and deploying data solutions for enterprise operations. Ideally, candidates will have experience supporting organizational transformation or business optimization initiatives.
Education
Bachelor's degree in Engineering, Computer Science, Data Science, Mathematics, or a related quantitative discipline.
Workplace
The successful candidate will be located in Plan-les-Ouates, Geneva, Switzerland, with easy access to Geneva.
Culture
Richemont fosters a refined, international workplace where its Maisons preserve exceptional craftsmanship while benefiting from the strength and perspective of a global luxury group. As an employer, it values long-term stewardship, collaboration, innovation, and the development of talent within an environment shaped by heritage, creativity, and high standards.
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 Richemont, 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 «Operations Data Engineer», «Business Analytics Engineer», «Data Operations Specialist», «Analytics Systems Engineer», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.