Senior Data Platform Engineer (Knowledge Platform & AI Enablement)
AirwallexSG - SingaporePosted 24 March 2026
Job Description
Senior Data Platform Engineer (Knowledge Platform & AI Enablement)
ABOUT AIRWALLEX
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.
ATTRIBUTES WE VALUE
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles https://www.airwallex.com/us/operating-principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.
SENIOR DATA PLATFORM ENGINEER (DATA PLATFORM & AI ENABLEMENT)
Hiring Location: Singapore
Who You Are? Role Overview:
The Data Platform Engineering team is going to implement various data processing tasks on the newly built next-generation data platform. We aim to further optimize data storage, processing, application, interfaces, and other dimensions. Throughout the continuous iteration process, we will also incorporate new data components and consider new data architectures (such as Lake House) to achieve faster data scheduling, significantly reducing data latency and enabling more efficient operation of data engineering applications.
In this data engineering role, we are seeking engineers with a background in data engineering to join us in various aspects of data engineering, leveraging your past experiences in the field.
In this role, you will:
- Engage in technical decision-making, custom development, integration, and performance optimization at the foundational level, extending to the development of service layer infrastructure components, application layer, and data processing, including third-party data integration. Your contributions will enable Airwallex to evolve into a truly data-driven organization.
- Develop and automate large-scale, high-performance distributed data processing systems (batch/streaming) to drive Airwallex's business growth and enhance product experiences.
- Advocate for high-quality software engineering practices to establish scalable data infrastructure and pipelines.
- Contribute to defining shared data engineering tool standards to enhance the productivity and output quality of data engineers across the company.
- Provide guidance to junior engineers.
You might be a great fit if you:
As a senior-level engineer, you’ll take the lead in system design. Additionally, we expect you to drive medium and large-scale projects that create an impact across the entire team. On mentorship: In the mid to later stages of your role, you’ll provide dotted-line guidance to Data Platform Engineer II(s) to support them in driving project delivery.
- Have 5+ years of relevant experience as a data engineer.
- ... (truncated, view full listing at source)
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