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About the Role

As a key member of the Business Performance team, you will lead initiatives to reinforce Richemont Europe’s position as a strong partner and business enabler for our Maisons. You will empower data-driven decision-making through data enablement by designing, building, and maintaining robust data models and pipelines. You will also help build AI Agents and implement advanced automation solutions.

Responsibilities

Design, develop, and maintain advanced data models supporting analytical needs.
Build, optimize, and manage data transformation pipelines using SQL, Python, and other tools.
Implement data quality checks, validation rules, and monitoring processes.
Optimize data models and queries for performance and scalability.
Collaborate with Data Scientists, Business Analysts, and Data Engineers to deliver data solutions.
Create and manage access rules for advanced data models.
Create and maintain comprehensive documentation for data models, pipelines, and data dictionaries.
Utilize and contribute to the development of modern data stack tools (e.g., dbt, BigQuery).
Identify and resolve data-related issues.
Develop, maintain, and deploy dashboards answering identified business needs.
Perform in-depth analyses to address specific business needs by providing actionable insights.
Train, accompany, and support business users in using analytics tools.
Support the preparation of the budget, strategic plans, business reviews, business development exploration & operational forecasts.
Contribute to data-related business projects to identify efficiencies, opportunities, and risks.
Collaborate to design and implement AI Agents by applying machine learning techniques, including Large Language Models (LLMs).
Drive the regional forecasting process, supporting budget preparation and capacity planning.

Requirements

Strong proficiency in SQL for data manipulation, transformation, and querying.
Experience with data warehousing concepts and technologies (e.g., Google BigQuery).
Proficiency in a scripting language, preferably Python, for data processing and automation.
Experience with data transformation tools, especially dbt (data build tool), is highly desirable.
Familiarity with cloud platforms (e.g., GCP, AWS, Azure) and their data services.
Understanding of data modeling techniques (e.g., Kimball methodology).
Experience with version control systems (e.g., Git).
Strong analytical and problem-solving skills with attention to detail.
Ability to communicate effectively with both technical and non-technical stakeholders.
Ability to manipulate and condense large volumes of data into succinct and powerful visualizations (graphs, charts, diagrams, dashboards, pivot tables).

Skills

SQL
Python
dbt
BigQuery
GCP
AWS
Azure
Kimball methodology
Git
AI Agents
Machine Learning
LLMs

Location

Richemont Europe

Work Type

Full-time

Experience Level

Mid-level

Education Level

Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field.
Relevant certifications in cloud data platforms or data engineering are a plus.

About the Company

Richemont is one of the world leaders in the luxury sector, with Houses specializing in jewelry, watches, and high-end accessories.
Each Maison embodies a tradition of style, quality, and craftsmanship.
Richemont strives to preserve the heritage and identity specific to each of its Houses.
The company is committed to innovating and designing new products in line with the values of its Houses through permanent creativity.