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 150,000 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 1,700 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$6.2 billion and backed by world-leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, 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.

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. Hold a Bachelor’s or Master’s degree in CS/CE/CIS, (or equivalent experience) with knowledge of Kotlin / Java / Scala / Python / SQL. Knowledge of Kafka, Data Lake, Spark, Flink, DBT, Spring Boot,, Hadoop, BigQuery, and Snowflake is preferred. Ability to take ownership of designing, building, and operating distributed systems and establishing overarching data architecture. Possess strong working knowledge of Real-time/Batch processing systems. Have experience with working data at PB scale.