Richemont Data Engineer

Bellevue Geneva Switzerland

Address
Chemin de la Chênaie 50, Bellevue View map
Employment
Full-Time
Seniority
Senior
Posted
Oct 15, 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 is seeking a Data Engineer for its RIMS Digital Transformation Department in Bellevue. The role builds data infrastructure, Looker reporting, data models and AI-enabled analytics, while supporting MCCs and RIMS; it is full-time.

Role & Responsibilities

  • Build and maintain data infrastructure and BI reporting to support data analytics initiatives.
  • Design data ingestion pipelines, ensure data quality, enable self-service analytics, and develop visualization tools in collaboration with MCC operational teams.
  • Design robust, scalable, and governed data pipelines that power Looker visualizations.
  • Design data models that guide operational decision-making across the MCCs and RIMS.
  • Build ready-to-use data models for teams, implement high-performing infrastructure and reporting dashboards, and support AI-related transformation initiatives.
  • Configure and maintain dashboards and visualizations in Looker, translating business needs into actionable KPIs, and train users to use the platform effectively.
  • Design and implement data marts, applying development best practices including Git and version control.
  • Support the development and maintenance of ETL/ELT pipelines using Airbyte to ingest data into BigQuery from SQL tables and flat files.
  • Maintain and document data lineage, ensuring Looker remains a single source of truth for the organization.
  • Monitor model consistency across the MCCs, leverage shared efforts, support business continuity when blockers arise, and maintain report performance.
  • Ensure models deployed by the MCCs perform effectively and meet Group expectations for cost and data consumption.
  • Monitor data-platform health, implement integrity checks, resolve data-quality issues, and apply data governance and access controls in line with Group strategy, including Monte-Carlo.
  • Promote the exchange of best practices across entities for the benefit of the Group and the MCCs.
  • Serve as the primary contact for developing, evolving, and integrating artificial intelligence solutions within the Group’s analytics tools.
  • Lead complex projects, manage priorities, and collaborate with stakeholders across IT, manufacturing, and business teams.

Qualifications

  • Master’s degree in computer science, Data Engineering, or a related scientific field.
  • More than five years of experience in data engineering or analytics engineering.
  • Expert command of SQL and Looker, including LookML, with the ability to build sophisticated dashboards and the data transformation layers that power them.
  • In-depth understanding of Google Cloud Platform, including BigQuery, and mastery of development and database-management best practices.
  • Ability to assess Group-proposed AI tools, contribute to their deployment within the industrial scope, and ensure appropriate use in accordance with compliance and cybersecurity requirements.
  • Enjoys working in a dynamic environment and delivering new features quickly to demanding business users using an Agile operating model.

Skills

SQL Looker LookML Google Cloud Platform BigQuery Git Airbyte Monte-Carlo ETL/ELT pipeline development Data modeling and transformation Dashboard and visualization development Data governance and access controls Project management Agile

Experience

More than five years in data engineering or analytics engineering.

Education

Master’s degree in computer science, Data Engineering, or a related scientific field.

Workplace

The successful candidate will be located in Bellevue, Geneva, Switzerland, with easy access to Geneva.

The setting Geneva

Explore jobs in Geneva or in Switzerland.

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 «Data Analytics Engineer», «Data Infrastructure Engineer», «Business Intelligence Data Engineer», «Analytics Platform 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.

Richemont

Richemont Data Engineer

Bellevue, Switzerland

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