Why PayNet / Why Now
- PayNet is operating at a scale where data reliability directly affects financial integrity and regulatory confidence
- Transaction volumes and data complexity are increasing faster than legacy pipelines can safely support
- Teams need production‑grade data foundations to move from insight to action without bottlenecks
- This role exists to shape how PayNet engineers data as a long‑term capability, not a one‑off solution
- The decisions made here set standards that multiple teams will build on for years
TL;DR
- Own the design and reliability of critical data pipelines
- Build scalable Python-based ETL (Extract, Transform, Load) workflows used by multiple teams
- Decide how data quality, performance, and resilience are enforced
- Operate across cloud platforms to support enterprise-grade data needs
Why This Role Matters
- Data decisions across PayNet depend on reliable, well-engineered pipelines
- This role determines how fast teams can move from data to insight
- You influence standards for data quality, scalability, and engineering rigor
- Your work directly impacts business outcomes and regulatory confidence
What You Will Actually Do
- Design and build production-grade data pipelines using Python
- Own ETL workflows end-to-end, from ingestion to consumption
- Decide and implement data quality checks that protect data integrity
- Optimize pipelines for performance, cost, and long-term scalability
- Deploy and operate data solutions on cloud platforms such as AWS (Amazon Web Services), GCP (Google Cloud Platform), or Azure (Microsoft Azure)
Examples of This Role in Practice
- Redesigning a slow-running pipeline to scale with increased transaction volume
- Partnering with Data Scientists to productionise experimental data workflows
- Identifying and fixing data quality issues before they impact reporting
- Choosing the right orchestration or storage approach for a new dataset
- Documenting data flows so teams can onboard and move faster
What Will Help You Succeed
- Strong Python fundamentals and experience building real-world data pipelines
- Hands-on experience with data libraries and frameworks such as Pandas, NumPy (Numerical Python), and Airflow (Apache Airflow)
- Confidence working with SQL (Structured Query Language) and relational databases
- Practical experience with cloud platforms such as AWS, GCP, or Azure
- Exposure to Big Data technologies such as Hadoop (Apache Hadoop) or Spark (Apache Spark) is a plus
About the Company
Payments Network Malaysia Sdn Bhd
Embark on an exciting career journey with Payments Network Malaysia Sdn Bhd (PayNet), the heartbeat of Malaysia's financial markets!
As the national payments network and a pivotal infrastructure for Malaysia’s dynamic financial markets, PayNet is a linchpin in advancing the nation’s digital economy.
Our comprehensive suite of retail payment solutions - encompassing DuitNow (QR and P2P), JomPAY (Bill Payments), FPX (Online), MyDebit (Domestic Debit), MEPS (ATM), and IBG (Interbank GIRO) - not only offer wide accessibility but are seamlessly integrated into the fabric of daily life in Malaysia. These services have revolutionised the way Malaysians handle financial transactions, marking a significant leap in consumer convenience and efficiency.
At PayNet, our focus is on providing a safe, efficient, and innovative payments system. We are dedicated to improving and managing payment services that meet the evolving needs of consumers and businesses. Our work ensures the stability and reliability of Malaysia’s financial system, supporting the growth of the economy.
Learn more about our work and how we are contributing to Malaysia's financial future at www.paynet.my.
Join us in embracing digital payments and advancing Malaysia's financial landscape.