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Employment: Unconfirmed

Education & alternatives

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)

Tools in this posting

SQL
BigQuery
dbt
Google Cloud (GCP)
Looker
Python

Source

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

- 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)

- 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

- 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)

- 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

- 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

- 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

Job description

View original posting ↗

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.

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.