Data Engineer — Looker Analytics

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.

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.