Data Engineer

Type Other
Seniority Mid-Level
Posted Mar 16, 2026

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.

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.