Richemont owns some of the world's leading luxury goods Maisons, with particular strengths in jewellery, fine watches and premium accessories. Each Maison represents a proud tradition of style, quality and craftsmanship and Richemont seeks to preserve the heritage and identity of each of its Maisons. At the same time, we are committed to innovation and designing new products which are in keeping with our Maisons' values, through a process of continuous creativity.
HOW WILL YOU MAKE AN IMPACT?In collaboration with our data platform team and management, you will build data pipelines on our cloud platform and will contribute to bring our data projects to life.
In close collaboration with the various domain leads and data product owner, you will qualify needs and build solutions within GCP accordingly.
During your journey with us you will:
Clean and transform raw data from various sources into reliable data products.Implement tests to check the quality and reliability of the data.Document the data products to ensure a global understanding of dimensions and key figures.As a member of Process Excellence Team, you will:
Apply software engineering best practices to analytics (version control, testing, continuous integration).Propose, transform, and automate non-added value processes.WHAT DO YOU NEED TO BE SUCCESSFUL IN THIS ROLE?University degree in computer science, data science, finance, math/physics or comparable work experience.4+ years working in comparable engineering roles.Strong programming skills in Python and SQL and experience with Cloud Services (preferably in GCP): in our Tech Stack we use Terraform for Infrastructure as Code, BigQuery for data storage, Docker and Kubernetes for computing, Airflow for orchestration, and GitLab for CI/CD.First experiences with data visualization and data analysis tools such as Looker would be an advantage.Excellent written and verbal communication skills: Fluent in English, French is a plus.
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