(Senior) Data Platform Engineer, Growth Data Platform

Airwallex
SG - SingaporePosted 24 March 2026

Job Description

(Senior) Data Platform Engineer, Growth Data Platform 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, GROWTH DATA PLATFORM HIRING LOCATION: SINGAPORE (OR, SHANGHAI, CHINA) Preliminary Note - Basic Information About This Role: This role belongs to the Knowledge Platform Team, as a senior data platform engineer, you’ll work directly within the business scenarios of the Growth Team. Who We Are? Team Introductions: The Knowledge Platform team is at the heart of our company's data and AI strategy. We are building the foundational infrastructure that empowers the entire company to leverage data, AI, and ML into business impact. We accomplish this by creating platforms that handle the entire data and AI/ML lifecycle, simplifying the interface while providing proper safety and governance. This includes managing our data infrastructure (Databricks, Spark, Kafka, etc.), the technology to serve that data to our users (RAG, MCP, etc.), and the platform to host and govern these AI/ML models. WHO YOU ARE? ROLE OVERVIEW: In 2024, 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: You will focus on the data platform and data processing scenarios within Airwallex’s Growth Team, with a specific focus on the key areas of Acquisition, Outbound, Activation, Retention, Monetization, and Revenue, etc. - Design, build and maintain scalable and reliable batch and stream data pipelines for internal analytics and operational use cases. - Participate in building data ingestion frameworks connecting internal systems with the centralized data platform usi ... (truncated, view full listing at source)
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