Data Engineer (Data Platform) - Monee Credit Experienced (Individual Contributor) Jakarta Business Intelligence and Data Analytics

Monee; Jakarta Pusat; On-site; IDR 240,000,000 - 420,000,000; Full time

Job summary

Monee is seeking an Experienced Data Engineer in Jakarta to collaborate with BI Analysts and project teams, turning data into insights and building automation products that meet business needs.

You will own data pipelines, data marts, and the lifecycle of self-service data, automation, and AI projects while designing scalable architecture for a high-performing BI/AI platform. English proficiency is preferred for regional collaboration.

Qualifications

• Bachelor’s degree in Computer Science or a related field with 2+ years of relevant experience.
• Strong Python expertise, with data ingestion and automation frameworks.
• Advanced SQL, Spark, Airflow and other data processing tools; frontend knowledge is a plus.
• Familiarity with LLM and Agentic tools and their business applications.
• Proficient in SDLC, version control, testing, modularity and documentation.
• Able to translate complex technical concepts to non-technical stakeholders.
• Comfortable with multiple languages/frameworks and selecting best tools.

Responsibilities

• Collaborate with BI Analysts and project teams to turn data into actionable insights.
• Build and maintain data pipelines and data marts for BI, Analytics, and regulatory reporting.
• Own the full lifecycle of self-service data, automation, and AI product development.
• Design and maintain the architecture of a high-performing data automation and AI platform.

Skills

Python proficiency

Data ingestion

Automation frameworks

SQL

Spark

Airflow

SDLC

Technical communication

English proficiency

Education

Bachelor’s degree in Computer Science or related field

Tools

Selenium

Playwright

LLM tooling

Agent harness

Git

Testing frameworks

Job description

Experienced (Individual Contributor) Jakarta

About Monee

Monee is a leading digital payments and financial services provider in Southeast Asia, with a growing presence in Latin America. Its mission is to better the lives of individuals and businesses in the region with financial services through technology.

Monee delivers a comprehensive range of digital financial products and services, including mobile wallets, payment processing, credit, banking, and insurtech. By leveraging technology and strategic partnerships, Monee aims to drive greater digital financial inclusion, convenience, and accessibility for individuals and small businesses across Southeast Asia and Latin America.

Monee is part of Sea Limited, a global technology company.

About the Team

-

Job Description

• You will work closely with Business Intelligence Analysts, project teams to turn data into information that supports sound business initiatives and to build automation products that meet business needs.
• Build and maintain data pipelines and data marts supporting Business Intelligence, Analytics, and Regulatory Reporting initiatives.
• You will own the full development lifecycle, implementation, and support of self-service data, business automation, and AI products.
• Design and maintain the architecture of a high-performing business automation and AI platform.

Requirements

• Bachelor’s degree in Computer Science or any related field with 2+ years of relevant experience working in Data Engineering, Software/AI Engineering, or related fields.
• Strong Python expertise, with emphasis on data ingestion and automation frameworks (e.g. Selenium, Playwright).
• Advanced skills in SQL, Spark, Airflow, and other data processing/engineering tools, familiarity with frontend development is a plus.
• Familiarity with LLM and Agentic tools and paradigms (e.g. agent harness), as well as its application in business.
• Proficient in Software Development Life Cycle (SDLC) including code version control, test-driven development, modularity, and technical documentation.
• Ability to translate complex technical concepts to non-technical stakeholders.
• Comfortable working with a variety of languages, frameworks, and technologies, adapting to the most suitable tool for the task at hand.
• Ability to converse in English is strongly preferred as we are deeply working with regional teams.