Junior Data Engineer

Richemont, one of the world leaders in the luxury sector, has various Houses specializing in jewelry, watches and high‑end accessories. Each Maison proudly embodies a tradition of style, quality and craftsmanship and Richemont strives to preserve the heritage and identity specific to each of them. At the same time, we are committed to innovating and designing new products in line with the values of our Houses, through a process of permanent creativity.

Reporting to the Business Development Manager, you will be a key member of the Business Performance team, leading initiatives that reinforce Richemont Europe’s position as a strong partner and business enabler for our Maisons. In this role you will support our transition and full adoption of Google Cloud Platform (GCP) and empower data‑driven decision‑making through the development of Google Looker dashboards and reports.

You will also help build AI Agents and implement advanced automation solutions, making this an exciting opportunity for professional growth in AI and Machine Learning (AI/ML).

• Perform data transformation & preparation, set up cloud projects & accounts, implement & manage storage and data solutions, set and manage access rules.
• Ensure data accuracy and consistency across reporting tools.
• Support the design and maintenance of scalable data architectures and ETL/ELT processes.
• Support in the development and maintenance of Google Looker dashboards and reports for business enablement.
• Perform in-depth analysis to deliver actionable insights.
• Collaborate with senior engineers and data scientists to design and implement AI Agents.
• Explore and apply machine learning techniques, including Large Language Models (LLMs).

By contributing to our data‑driven culture, enabling robust reporting, and advancing our AI/ML capabilities within the European Business Performance Team. Your ability to manage data effectively, develop insightful visualizations, and explore new technologies will be key to your impact.

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or related field.
• Previous professional experience in data engineering or software development with a focus on data.
• Familiarity with Google Cloud Platform services (Big Query, Dataflow, Cloud Storage, Cloud Functions, Vertex AI).
• Understanding of data warehousing concepts, ETL/ELT processes, and data modeling.
• Proficiency in SQL; familiarity with No
  
  SQL databases and working knowledge of Python is a plus.
• Foundational understanding of AI concepts and willingness to learn advanced techniques.
• Experience with Google Looker, API integration and third‑party data sources, as well as understanding of enterprise data structures and integration methods are a plus.
• Strong analytical and problem‑solving abilities.
• Interest in AI frameworks.
• Excellent communication and collaboration skills.
• Adaptability and eagerness to learn new technologies.