Data Engineer: AI-Driven ETL & Data Platform

SEA Singapore; Singapore; Hybrid; SGD 90,000 - 130,000; Full time

Job summary

Sea Ltd. is seeking a data engineer to deliver end-to-end data solutions across Garena, Shopee, and Monee. You will collect data from diverse sources, design scalable ingestion and data models for the data warehouse, and build ETL pipelines using SQL, Python, and PySpark.

The role emphasizes AI-enabled solutions, collaboration with data platform engineers, and governance to ensure data quality and compliance as the organization scales across markets.

Qualifications

• Bachelor's degree or higher in Computer Science, Business Analytics, Mathematics, Engineering.
• Minimum 2 years of relevant full-time working experience in a Data related role.
• Deep understanding of SQL and Python are required.
• Experience with PySpark is preferred.
• Hands-on experience in AI-enabled data solutions, automation, or prototyping.

Responsibilities

• Deliver end-to-end data solutions to support users’ use cases across businesses and markets.
• Collect data from various data sources, design scalable ingestion, transformation and data modeling solutions for the data warehouse.
• Develop, test and maintain reliable ETL pipelines using various technologies.
• Monitor data pipelines and investigate data quality, reliability and performance issues, identify root causes and implement sustainable improvements.
• Collaborate with data platform engineers to embed AI-enabled solutions in shared frameworks, platform capabilities and engineering standards.
• Integrate AI capabilities into existing data solutions and workflows, turning underlying data infrastructure into practical AI-enabled solutions for users.
• Support data quality and governance, ensuring that data, scripts and documentation meet relevant compliance requirements and establishment of future innovation.

Skills

Data analysis

Team collaboration

Communication skills

Self-learning

Education

Bachelor's degree in CS/Analytics/Math/Engineering

Tools

SQL

Python

PySpark

Job description

Sea Ltd. is seeking a data engineer to deliver end-to-end data solutions across Garena, Shopee, and Monee. You will collect data from diverse sources, design scalable ingestion and data models for the data warehouse, and build ETL pipelines using SQL, Python, and PySpark.

The role emphasizes AI-enabled solutions, collaboration with data platform engineers, and governance to ensure data quality and compliance as the organization scales across markets.