Richemont Data Engineer

Location
Seniority Mid-Level
Posted Mar 16, 2026
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Richemont — Data Engineer in Villars-sur-Glâne, Switzerland. Build scalable data pipelines and enable analytics across global luxury maisons.

Overview

Richemont is a Switzerland-based luxury goods group comprising a portfolio of high-end maisons across jewellery, watchmaking, leather goods and premium accessories. The organisation combines heritage craftsmanship with contemporary retail and digital operations, supporting global brands such as Cartier, Van Cleef & Arpels and Montblanc across product, retail and client services.

Role & Responsibilities

  • Design, develop and maintain scalable data pipelines and ETL processes to consolidate data from multiple maisons and operational systems.
  • Implement and optimise data models, ingestion workflows and storage solutions to support analytics, reporting and machine-learning use cases.
  • Collaborate with data scientists, analysts and business stakeholders to translate business requirements into reliable production data assets.
  • Ensure data quality, lineage and observability through automated tests, monitoring and remediation procedures.
  • Productionise and containerise data services, manage deployments and contribute to platform automation and infrastructure-as-code.
  • Participate in data governance, security and compliance activities to protect sensitive customer and commercial data.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Mathematics or a related quantitative discipline (or equivalent professional experience).
  • Proven proficiency with SQL and programmatic data processing (Python or Scala).
  • Experience building and maintaining ETL/data pipelines in cloud or hybrid environments.
  • Familiarity with data modelling, data warehousing concepts and performance tuning.
  • Demonstrated ability to work with cross-functional teams and translate business needs into technical solutions.

Skills

SQL Python Apache Spark Airflow Docker Kubernetes AWS GCP Azure Snowflake Apache Kafka git

Experience

Typically 3–5 years of hands-on experience in data engineering, large-scale ETL development, or a related analytics/engineering role, with exposure to cloud platforms and production deployments.

Education

Bachelor's degree in Computer Science, Engineering, Mathematics or a related field, or equivalent practical experience.

Workplace

This position is based in Villars-sur-Glâne, Fribourg, Switzerland, within easy reach of Fribourg. Cerulean lists 16 open roles in Villars-sur-Glâne, including 3 posted recently. The broader Fribourg area accounts for 21 active listings on Cerulean, 3 of which are new. In Switzerland as a whole, Cerulean currently features 770 open positions, with 25 posted this week.

Culture

Richemont blends deep artisan heritage with a progressive drive toward digital transformation; teams balance respect for brand craftsmanship with a pragmatic, data-driven approach. The environment emphasizes cross-maison collaboration, professional development and applying modern engineering practices to elevate luxury retail and client experiences.

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.