Richemont Data Engineer

Geneva • Switzerland

Tuesday, March 25, 2025

Richemont, a distinguished leader in the luxury goods sector, is renowned for its prestigious portfolio of brands that exemplify elegance and craftsmanship. As part of this esteemed conglomerate, Richemont offers a dynamic and innovative work environment that fosters creativity and excellence. Employees are encouraged to contribute to the legacy of luxury while advancing their careers in a supportive and enriching setting.

1. Translate business requirements into technical specifications in collaboration with the data product owner.
2. Design, develop, and maintain robust and scalable data pipelines using Airflow.
3. Utilize dbt for data transformation and modeling, ensuring data quality and consistency.
4. Employ Terraform for infrastructure as code (IaC), automating the provisioning and management of data infrastructure.
5. Implement and maintain CI/CD pipelines for data engineering workflows.
6. Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks.
7. Implement data quality checks and monitoring to ensure data accuracy and reliability.
8. Contribute to the development of data engineering best practices and standards.
9. Manage and maintain data repositories using Git.
10. Automate data-related tasks to improve efficiency and reduce manual effort.
11. Cooperate with support teams and provide L3 support to comply with predefined SLA’s.

1. University degree in computer science, engineering, or a comparable field.
2. 3-5 years of experience as a Data Engineer or in a similar role.
3. Experience with data warehousing concepts and technologies.
4. Hands-on experience with Google Cloud Platform (GCP) data services, such as BigQuery and Cloud Storage.
5. Knowledge of dbt and version management tools, such as Git.
6. Experience with infrastructure as code (IaC) using Terraform.
7. Experience with workflow orchestration tools such as Airflow.
8. Strong proficiency in Python and SQL.
9. Strong problem-solving and analytical skills.
10. Excellent communication and collaboration skills.

1. Proficiency in Python and SQL
2. Experience with Google Cloud Platform (GCP) data services
3. Knowledge of dbt and Git
4. Experience with Terraform and Airflow
5. Strong problem-solving and analytical skills
6. Excellent communication and collaboration skills

3-5 years of experience as a Data Engineer or in a similar role, with a focus on data warehousing and cloud platforms.

University degree in computer science, engineering, or a comparable field.

Richemont provides a comprehensive benefits package that includes health insurance, retirement plans, and employee discounts on luxury products. The company supports professional development and offers opportunities for career advancement within its prestigious brands.

Richemont fosters a culture of innovation and excellence, where employees are encouraged to push boundaries and contribute to the legacy of luxury. The company values creativity, collaboration, and a commitment to quality, providing a supportive environment for professional growth.