Richemont Regional Analytics Engineer

Richemont is a leading luxury goods company known for its prestigious Maisons and commitment to innovation. The company operates in a dynamic and fast-paced environment, offering opportunities for growth and collaboration across various regions.

1. Design, construct, install, test, and maintain highly scalable data architecture
2. Develop data set processes for data modelling, mining, and production
3. Translate business needs into data models that provide insightful analytics
4. Collaborate with business to build the data model
5. Write queries for data extraction and analytic purposes
6. Optimize the performance of the data lake platform
7. Work with data analysts to transform raw data into actionable insights
8. Provide clean, usable data to end-users
9. Ensure the integrity of data used for analysis
10. Document the data systems, processes, and schemas
11. Work with business users to refine data requests and improve data models
12. Communicate with stakeholders to understand data content and business requirements
13. Act as a liaison between technical and non-technical teams

1. Bachelor’s degree in computer science, Information Technology, Engineering, or a related field

1. Proficiency with SQL and scripting languages such as Python
2. Experience with GCP services (i.e. Composer, Cloud Run)
3. Experience with data modelling tools (i.e. DBT, LookML)
4. Ability to work in a fast-paced environment and manage multiple projects simultaneously
5. Exceptional communication and interpersonal skills
6. Good in both spoken and written English

Minimum 3 years of relevant work experience in a data-driven environment working with large data sets and complex data pipelines.

Opportunity to work in a luxury retail environment with exposure to various Maisons and the chance to build long-term partnerships.

The role is based in Hong Kong, offering a collaborative and dynamic workplace within the luxury retail sector. The environment encourages learning agility, resilience, and proactiveness.