Richemont Data Engineer — Looker Analytics

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.

1. Design, develop and maintain Looker models and dashboards using LookML to deliver accurate, performant analytics to commercial and brand stakeholders.
2. Build, optimise and operate data pipelines and ETL processes to populate the analytics warehouse and ensure data consistency across sources.
3. Collaborate with data analysts, product owners and business teams to translate requirements into scalable data models, metrics and self-service dashboards.
4. Implement data quality checks, monitoring and observability to detect and resolve pipeline issues and ensure trust in reporting.
5. Contribute to data platform engineering: schema design, performance tuning, version control and deployment workflows for analytics assets.
6. Document data definitions, modelling decisions and operational runbooks; train stakeholders on Looker best practices and governed metric usage.

1. Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science or a related field; advanced degree preferred.
2. Proven experience designing and shipping production analytics solutions using Looker and LookML.
3. Demonstrable expertise in SQL and relational data modelling for analytics use cases.
4. Strong programming skills in Python or a comparable language for data engineering tasks.
5. Experience with cloud data warehouses and modern data stack components (e.g., BigQuery, Snowflake, dbt, Airflow) and version control (Git).
6. Excellent stakeholder communication skills and a collaborative approach to cross-functional problem solving.

1. Looker
2. LookML
3. SQL
4. Python
5. dbt
6. BigQuery
7. Snowflake
8. Apache Airflow
9. Git
10. Data modelling

Approximately 3+ years of professional experience in data engineering, analytics engineering, or BI development, with hands-on Looker deployment and production data pipeline ownership.

Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science or equivalent; a Master’s degree is an advantage.

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.