Data Engineer

Ant International; Kampung Malaysia Tambahan; On-site; MYR 120,000 - 180,000; Full time

Job summary

Ant International is seeking a data engineering professional for its Malaysia Tech Center in Kuala Lumpur. You will design data models, develop ETL pipelines, and build real-time data warehousing solutions to support analytics and BI across global products.

The role requires strong experience in data engineering and distributed engines (Hive, Spark, Flink) and excellent English communication. Join a fast-growing fintech environment with a global footprint and On-site collaboration in Malaysia.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field.
• Proven expertise in data engineering, ETL design, and data warehousing.
• Experience with distributed engines like Hive, Spark, or Flink.
• Strong written and verbal English communication.
• Knowledge of data governance and compliance is a plus.

Responsibilities

• Design and implement data models to support analytics and reporting.
• Develop, maintain, and optimize ETL pipelines ensuring data accuracy.
• Build real-time data warehousing solutions for BI needs.
• Collaborate with tech teams to gather data requirements.
• Ensure data security and regulatory compliance.
• Monitor data pipelines for reliability and performance.
• Stay updated with industry trends in data engineering.

Skills

Data engineering

ETL pipelines

Data warehousing

Real-time analytics

Big data architecture

English communication

Education

Bachelor's degree in Computer Science, Data Science, Software Engineering, or related field

Tools

Hive

Spark

Flink

Job description

Ant International is a leading global digital payment, digitisation and financial technology provider. Through collaboration across the private and public sectors, our unified techfin platform supports financial institutions and merchants of all sizes to achieve inclusive growth through a comprehensive range of cutting‑edge digital payment and financial services solutions.

Ant International’s Global Development Centre (GDC) is located at The Exchange 106, within TRX, Malaysia’s dedicated international financial centre. The GDC is Ant International's strategic hub for world‑class talent, driving the innovations that advance inclusive global commerce. It represents another milestone in Ant International's journey in Malaysia, reflecting the company's belief that world‑class innovation can be developed in Malaysia for global markets, by creating high‑value employment opportunities, nurturing local talent and collaborating with public and private sector partners.

About the Role

Our Malaysia Tech Center is advancing cross‑border payments, SME digitalisation, and next‑generation financial infrastructure, supporting global businesses and products such as WorldFirst, Alipay+, Antom, and Bettr.

In this role, you would:

• Design and implement data models that support business requirements and data analytics.
• Develop, maintain, and optimize ETL (Extract, Transform, Load) processes to ensure data accuracy and integrity.
• Build and manage real‑time data warehousing solutions to support business intelligence and reporting needs.
• Collaborate with tech team and other stakeholders to understand data requirements and provide data solutions.
• Ensure data security and compliance with relevant regulations and standards.
• Monitor and troubleshoot data pipelines and systems to ensure high availability and performance.
• Stay up‑to‑date with the latest industry trends and technologies in data engineering and data warehousing.

You could be a good fit if you have/are:

• Bachelor's degree in Computer Science, Data Science, Software Engineering, or any related field.
• Demonstrated expertise in data engineering, software development, data science, or other AI‑focused roles.
• Proficient in creating and maintaining end‑to‑end ETL pipelines while maintaining high reliability and security.
• Familiar with at least one distributed computing engine (e.g. Hive, Spark, Flink).
• Familiar with data warehouse concept and have production experience in modeling design.
• Proficiency in both written and verbal English communication.
• Experience in the design of big data architecture (e.g. data governance, data compliance) is a plus.