Data Engineer (Data Platform) - Monee Credit Experienced (Individual Contributor) Jakarta Business Intelligence and Data Analytics
Summary
Build and maintain data pipelines, data marts, and self-service/AI automation products supporting Business Intelligence, Analytics, and Regulatory Reporting at Monee, a digital payments and financial services company. Core stack: Python, SQL, Spark, and Airflow, with LLM/agentic tooling for business automation.
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
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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.