Richemont Data Ops Engineer

Geneva • Switzerland

Wednesday, April 2, 2025

Richemont, a distinguished leader in the luxury goods sector, is renowned for its prestigious portfolio of brands. As a part of this esteemed conglomerate, the company offers an environment that fosters innovation and excellence, providing employees with opportunities to contribute to the legacy of luxury and craftsmanship.

1. Ensure scalable deployment of data pipelines in Google Cloud Platform (GCP).
2. Manage and maintain data repositories using GitLab.
3. Utilize dbt for data transformation and modeling, ensuring data quality and consistency.
4. Conduct code reviews to audit data transformation workflows.
5. Employ Terraform for infrastructure as code (IaC), automating the provisioning and management of data infrastructure.
6. Design, develop, and maintain robust and scalable data pipelines using Airflow.
7. Implement and maintain CI/CD pipelines for data engineering workflows.
8. Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks.
9. Implement data quality checks and monitoring to ensure data accuracy and reliability.
10. Contribute to the development of data engineering best practices and standards.
11. Automate data-related tasks to improve efficiency and reduce manual effort.
12. Collaborate with support teams and provide Level 3 support to comply with predefined SLAs.

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. Strong proficiency in SQL, Python, and containerized applications.
4. Experience with data warehousing concepts and technologies.
5. Hands-on experience with Google Cloud Platform (GCP) data services.
6. Knowledge of dbt and version management tools such as Git.
7. Experience with infrastructure as code (IaC) using Terraform.
8. Experience with workflow orchestration tools such as Airflow.
9. Experience with DevOps workflows.
10. Strong problem-solving and analytical skills with a system optimization-oriented mindset.
11. Excellent communication and collaboration skills.

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

3-5 years of experience as a Data Engineer or in a similar role.

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

Competitive benefits package including health insurance, retirement plans, and employee discounts on luxury products.

Richemont fosters a culture of innovation and excellence, encouraging employees to push the boundaries of luxury and craftsmanship. The company values collaboration, diversity, and a commitment to sustainability, creating a dynamic and inclusive workplace.