Richemont Data Engineer — Looker Analytics
Richemont seeks a Data Engineer — Looker Analytics in Meyrin, Switzerland to build Looker models and analytics pipelines for luxury maisons.
Overview
Richemont is a Swiss-based luxury goods holding that manages a portfolio of prestigious maisons across jewellery, watches, leather goods and accessories. As a global employer, Richemont combines heritage craftsmanship with modern retail and digital capabilities, investing in data and technology to support brand excellence across markets.
Role & Responsibilities
- Design, develop and maintain Looker models and dashboards using LookML to deliver accurate, performant analytics to commercial and brand stakeholders.
- Build, optimise and operate data pipelines and ETL processes to populate the analytics warehouse and ensure data consistency across sources.
- Collaborate with data analysts, product owners and business teams to translate requirements into scalable data models, metrics and self-service dashboards.
- Implement data quality checks, monitoring and observability to detect and resolve pipeline issues and ensure trust in reporting.
- Contribute to data platform engineering: schema design, performance tuning, version control and deployment workflows for analytics assets.
- Document data definitions, modelling decisions and operational runbooks; train stakeholders on Looker best practices and governed metric usage.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science or a related field; advanced degree preferred.
- Proven experience designing and shipping production analytics solutions using Looker and LookML.
- Demonstrable expertise in SQL and relational data modelling for analytics use cases.
- Strong programming skills in Python or a comparable language for data engineering tasks.
- Experience with cloud data warehouses and modern data stack components (e.g., BigQuery, Snowflake, dbt, Airflow) and version control (Git).
- Excellent stakeholder communication skills and a collaborative approach to cross-functional problem solving.
Skills
Experience
Approximately 3+ years of professional experience in data engineering, analytics engineering, or BI development, with hands-on Looker deployment and production data pipeline ownership.
Education
Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science or equivalent; a Master’s degree is an advantage.
Workplace
This position is based in Meyrin, Geneva, Switzerland, within easy reach of Geneva. Cerulean lists 59 open roles in Meyrin, including 3 posted recently. The broader Geneva area accounts for 479 active listings on Cerulean, 13 of which are new. In Switzerland as a whole, Cerulean currently features 770 open positions, with 25 posted this week.
Culture
Richemont blends traditional savoir-faire with a forward-looking digital transformation. The workplace values craftsmanship, meticulous attention to detail and cross-disciplinary collaboration, fostering a data-informed environment that supports creativity and commercial rigor.
About Cerulean
Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.