Data Engineer

Job description

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.

“Join us to unleash the power of #data, leverage our cloud platforms and deploy at scale state-of-the-art initiatives! You will be part of a young, dynamic and talented team working on analytics and artificial intelligence with real-life, impactful business applications.” — Thomas M.; Data Officer

As a Data Engineer, you’ll be responsible for building and maintaining the data and BI infrastructure that powers our analytics and ML initiatives. You’ll design scalable data pipelines, ensure data quality, enable self-service analytic capabilities and build BI products across the organization.

HOW WILL YOU MAKE AN IMPACT ?

"The data engineer sits at the foundation of the data stack, ensuring that every insight in Looker is powered by a robust, scalable, and governed pipeline."

Navigating between technical infrastructure and business intelligence, you will have the opportunity to design the data models that drive business decisions across the Maison.

YOUR MAIN MISSIONS

Within the Cartier Data Office, you will build business-ready data models, high-performance infrastructure, and large-scale reporting dashboards.

Analytics Capabilities with Looker: You will configure and maintain Looker dashboards and explores, translating complex business questions into actionable insights. You will train "viewers" and "explorers" on how to get the most out of the platform.

Data Modeling & Transformation: You will design and implement dbt models and dimensional data marts, applying software engineering best practices (version control, testing) to the analytics layer.

Pipeline Engineering: You will build and maintain ETL/ELT pipelines using Airflow/Apache Composer, ensuring seamless data ingestion into BigQuery.

Platform Operations: You will monitor data platform health, troubleshoot quality issues, and implement data governance and access controls.

Documentation: You will maintain data definitions and lineage, ensuring Looker remains a "single source of truth" for the organization.

HOW WILL YOU EXPERIENCE SUCCESS WITH US ?

You have a Master’s degree in Computer Science, Data Engineering, or a related scientific field and 3-5 years of experience in data engineering or analytics engineering.

You have a strong proficiency in Looker (LookML) or PowerBI, and SQL/DBT. You know how to build sophisticated dashboards and the transformation layers that power them.

You have a deep understanding of Google Cloud Platform (BigQuery) and are expert in SQL and Python.

You have experience building pipelines with Airflow/Apache Composer.

You like to work in a fast-paced environment, quickly delivering new features for demanding business users using an Agile/DevOps operating model.

HOW DO WE KEEP YOU SMILING ?

In a young and dynamic team focused on personal development, you will take part in Cartier’s data journey, leveraging state-of-the-art tool.

You will work with multicultural stakeholders from different business units for a leading Company in the luxury industry.

You will have the opportunity to mentor team members as our data maturity grows.

#Richemont #WeCraftTheFuture