Senior Data Engineer
Core
Design and maintain scalable data pipelines and a modern data warehouse to power personalization, optimize conversion, and maximize marketing performance for Sephora's omni-channel business across Southeast Asia.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, modern data warehouse, datasets, APIs, and data products
Domain
Retail / Beauty / Southeast Asia
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, data modeling, data warehouse design, Python, modern data stack (BigQuery, dbt, Airflow, cloud platforms)
Preferred skills
big data pipelines, performance optimization, machine learning workflows, serverless compute, distributed processing frameworks
Technologies
BigQuery, dbt, Airflow, ECS, Cloud Run, Spark, Beam
Responsibilities
Design and maintain scalable data pipelines; Create clean, extensible data models; Partner with ML teams to support data pipelines; Implement best practices across testing, CI/CD, observability, and data security; Deliver datasets, APIs, and data products; Coach engineers and improve team processes
Seniority
Senior, hands-on IC with mentorship