Junior Data Engineer, Amsterdam, Netherlands

Reference code: JR125591

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?

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. As our organization evolves, 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).

Key Responsibilities:

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).

HOW WILL YOU EXPERIENCE SUCCESS WITH US?

You will experience success 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 (BigQuery, Dataflow, Cloud Storage, Cloud Functions, Vertex AI).
Understanding of data warehousing concepts, ETL/ELT processes, and data modeling.
Proficiency in SQL; familiarity with NoSQL databases & 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.

WHAT MAKES OUR GROUP DIFFERENT?

Our true power does not lie in our similarities but in the rich diversity of our arts, cultures, and human skills, as well as our specific ability to foster untapped potential.