Reference code: JR133564
The story of Cartier is founded on curiosity and passion. For more than 170 years we have embraced a bold, pioneering spirit that continues to inspire our teams across all Métiers from our boutiques to our workshops and corporate offices. Our 10,000+ colleagues of more than 105 nationalities are united by a shared independent spirit and commitment to excellence, striving to continuously enrich our Maison’s heritage by pushing the boundaries of creativity and innovation.
Key Responsibilities:
- Pipeline & Modeling Support: Assist in writing and optimizing SQL queries and dbt models to clean and transform raw regional data in BigQuery
- Dashboard Development: Assist in maintaining our Looker (LookML) code and building high-performance, customized dashboards for our boutique networks
- Data Quality Assurance: Build automated data quality test to monitor data anomalies and our regional data pipeline performance to ensure our analytical products maintain 100% data accuracy
- Platform Migration & Modernization: Actively assist in documenting and migrating legacy reporting systems into our unified, cloud-based GCP platform
- Data Governance & Documentation: Standardize regional KPI definitions, engage with key stakeholders and maintain clear, structured data documentation to foster a strong regional data community
What We Look For:
- Academic Background: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Statistics, or a highly quantitative field (Mathematics, Econometrics etc.). Must be currently enrolled in university and eligible for a full-time 6-month internship in Hong Kong
- Technical Toolkit:
- Proficiency in SQL (compulsory; practical testing will be part of the process)
- Basic understanding of data warehousing and data modelling concepts (BigQuery, Star Schema), and version control (GitOps and CI/CD)
- Experience or strong interest in dbt (data build tool) and Looker (LookML) is a major advantage
- Intermediate coding/scripting skills in Python (highly preferred for pipeline automation and AI integration)
- Analytical Mindset & Soft Skills:
- Critical Thinking & Problem Solving: Methodical, structured, and curious when troubleshooting technical bugs or data discrepancies
- Communication & Presentation: Ability to communicate technical concepts clearly and effectively to diverse business stakeholders across different markets
- Luxury Industry Passion: A genuine interest in learning how advanced data analytics drives decision-making, retail performance, and client experience in the luxury industry
- Languages: Fluency in English is required; proficiency in Chinese (Cantonese and/or Mandarin) is an advantage.
