AI-Enabled Data Engineer for End-to-End ETL & Analytics

Sea; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Sea is seeking a data professional to deliver end-to-end data solutions across Garena, Shopee, and Monee. You will collect data from diverse sources, design scalable ETL pipelines, and build AI-enabled data workflows that drive reporting and insights. Collaboration with platform engineers will embed AI features in our data fabric.

The role emphasizes data quality, governance and learning new technologies, with ownership and teamwork across a dynamic HQ Finance environment.

Qualifications

• Bachelor’s degree or higher in CS, analytics, math or engineering.
• Minimum 2 years of experience in a data-related role.
• Deep understanding of SQL and Python.
• Experience with PySpark is preferred.
• Hands-on AI-enabled data solutions, automation or prototyping.
• Strong communication and teamwork with ownership mindset.

Responsibilities

• Deliver end-to-end data solutions to support users’ use cases across businesses and markets.
• Collect data from various sources and design scalable ingestion, transformation and data modelling for the data warehouse.
• Develop, test and maintain reliable ETL pipelines using various technologies.
• Monitor data pipelines, investigate data quality and performance issues and implement improvements.
• Collaborate with data platform engineers to embed AI-enabled solutions in shared frameworks.
• Integrate AI capabilities into existing data solutions and workflows for practical use.
• Support data quality and governance and ensure compliance and future innovation.

Skills

SQL

Python

Data modelling

Ownership

Communication

Education

Bachelor's degree in Computer Science / Business Analytics / Mathematics / Engineering

Tools

PySpark

ETL Tools

Job description

Sea is seeking a data professional to deliver end-to-end data solutions across Garena, Shopee, and Monee. You will collect data from diverse sources, design scalable ETL pipelines, and build AI-enabled data workflows that drive reporting and insights. Collaboration with platform engineers will embed AI features in our data fabric.

The role emphasizes data quality, governance and learning new technologies, with ownership and teamwork across a dynamic HQ Finance environment.