Data Engineer/Senior Engineer

PT Sea Group; Indonesia; On-site; IDR 240,000,000 - 420,000,000; Full time

Job summary

PT Sea Group is seeking a Data Engineer within the HQ Finance Group Data function to build scalable data infrastructure, ingest, transform and warehouse data, and develop AI-enabled solutions for finance reporting and analysis. The role emphasizes end-to-end data initiatives and collaboration across Garena, Shopee, and Monee businesses.

Candidates should have at least 2 years in data roles, strong SQL and Python competencies, and ideally PySpark experience, paired with a passion for new

Qualifications

• End-to-end data solutions across multiple businesses and markets.
• Strong SQL and Python skills required; PySpark preferred.
• Experience designing data models, ETL pipelines, and data warehouses.

Responsibilities

• Deliver end-to-end data solutions to support use cases across businesses and markets.
• Collect data from various sources and 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 for quality, reliability, and performance, identifying root causes and improvements.
• Collaborate with data platform engineers to embed AI-enabled solutions in shared frameworks and standards.
• Integrate AI capabilities into data solutions and workflows to enable practical AI-enabled insights.
• Support data quality and governance, ensuring compliance and future innovation.

Skills

SQL

Python

PySpark

Data pipelines

AI-enabled data solutions

Team collaboration

Education

Bachelor's degree or higher in Computer Science, Business Analytics, Mathematics, Engineering

Tools

ETL tools

Job description

You will be part of Sea’s HQ Finance department, which plays an integral role in supporting the accounting and finance needs of our three core businesses (Garena, Shopee, Monee) and across our diverse regional market presence. Within the department, the Group Data function builds and maintains scalable data infrastructure through data ingestion, transformation, and warehousing via robust ETL pipelines, while also developing web-based tools that enable efficient access and interaction with data systems to support accurate reporting and analysis. You will be involved in the establishment of end-to-end data initiatives, from designing data models, developing ETL pipelines for data ingestion, transformation and modelling to the development of applications, automation and AI-enabled solutions that allow users to interact with and derive greater value from Finance data.

• 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
• 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
• Passionate about programming and new technologies in the field
• Demonstrates strong communication and interpersonal skills, works effectively in teams, and shows a high level of ownership as a self-learner