About the role
ABOUT AIRWALLEX
Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.
We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.
We're co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles https://www.airwallex.com/en-us/operating-principles to see it in full.
HOW YOU'LL MAKE IMPACT
You'll build the data foundations that power Airwallex's Customer Data Platform, helping teams turn customer information into trusted, reusable data for analytics, machine learning, operational decision-making, and practical AI applications.
- Own scalable ETL pipelines across batch and real-time workflows, using technologies such as Databricks, DBT, and Spark
- Build reliable data foundations across data warehouses, data consumption platforms, and modern cloud data infrastructure
- Develop data models and data products that support operational needs, agentic workflows, machine learning, and business intelligence including star, snowflake, normalised, and denormalised designs
- Apply data engineering and AI best practices to solve practical problems in creative and scalable ways
- Partner with globally distributed teams to deliver complex technical work with strong problem-solving, attention to detail, communication, and collaboration
This is an in-office role — you'll be in our Singapore office five days a week.
WHAT WE'RE LOOKING FOR
ESSENTIALS
- A bachelor’s degree or higher in Computer Science, Information Systems, Mathematics, or a related field
- At least seven years of experience designing and implementing scalable ETL pipelines, including batch and streaming workflows
- Experience with streaming technologies such as Apache Kafka or Apache Flink