Open Jobs Senior Data Engineer

Singapore - Singapore

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

At Sephora beauty is about feeling seen valued and empowered individually and collectively. It is connecting deeply with others celebrating diversity and inclusivity unlocking your potential and making a difference every day. Together we belong to something beautiful.

Sephora SEAs omni channel business spans over 8 countries (Australia India Indonesia Malaysia New Zealand Singapore Thailand and the Philippines) with 100 stores and boasts some global flagships such as ION and Raffles City in Singapore F88 in Kuala Lumpur and Pitt Street in Sydney. Sephora SEA is experiencing rapid growth in the region with new store openings and business channels (i.e. Click and collect and marketplace).

The Opportunity

Sephora Southeast Asia is looking for a Senior Data Engineer to join our Data team.

As a leading omni-channel business across 9 markets Sephora SEA is deeply data-driven with analytics embedded across the organization. Our data ecosystem combines internally built platforms and best-in-class external tools to power personalization optimize conversion and maximize marketing performance.

Were looking for a proactive commercially-minded engineer to ensure our analysts machine learning systems and business users have access to high-quality reliable datawhen they need it.

What Youll Do

Build & Scale Data Platform: Design and maintain scalable data pipelines and a modern data warehouse integrating diverse data sources
Own Data Modeling: Create clean extensible data models that drive consistency and trust across the business
Enable Machine Learning: Partner with ML teams to support data pipelines for training and real-time use cases
Drive Engineering Excellence: Implement best practices across testing CI/CD observability and data security
Enable the Business: Deliver datasets APIs and data products that empower analytics product and commercial teams
Lead & Mentor: Coach engineers improve team processes and elevate engineering standards

Key Requirements

Must-Have

4 years in data engineering building scalable data systems
Strong SQL data modeling and data warehouse design expertise
Proficiency in Python
Proficiency in modern data stack (e.g. BigQuery dbt Airflow cloud platforms)
Strong communication skills and a hands-on solution-oriented mindset
Strong ownership mindset with the ability to influence and collaborate across teams
Degree in a quantitative field (or equivalent experience)

Nice-to-Have

Experience with big data pipelines and performance optimization
Exposure to machine learning workflows
Experience with serverless compute (e.g. ECS Cloud Run)
Familiarity with distributed processing frameworks (e.g. Spark Beam)

Here you will find:

Community in which authenticity is embraced and the strength of our differences fuels our collective spirit.
Culture of empowerment learning & growth that offers you the tools space and opportunity to learn innovate and lead.
Work that brings fulfilment from delighting clients every day to inspiring our industry at large every action makes a difference.

It is in the Sephora DNA to champion a world of inspiration and inclusion where everyone can celebrate their beauty. You can be yourself because you are what sets us apart.Join us and belong to something beautiful.

Sephora is proud to be an equal opportunity workplace for all. We do not discriminate in recruitment hiring training advancement or other employment practices. We celebrate diversity and are committed to creating and fostering an inclusive environment for all employees.

Required Experience:

Senior IC