The posting, in Airwallex's own words
archived Oct 19, 2026About 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 2,300 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 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 streaming workflows, using technologies such as Apache Kafka and Apache Flink Build reliable data foundations across SQL databases, data warehouses, and modern data infrastructure Develop data models and schemas that support business intelligence, machine learning, and operational needs, including star, snowflake, normalized, and denormalized designs Apply data engineering and AI to solve practical problems in creative 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.
Read the full posting ↓
Essentials
A bachelor’s degree or higher in Computer Science, Information Systems, Finance, 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 Strong proficiency in SQL, database management systems, data warehousing, and data modelling for business intelligence, , and operational needs Strong understanding of data schemas, including star, snowflake, normalized, and denormalized designs Strong problem-solving, attention to detail, communication, and collaboration skills Experience working with globally distributed teams An understanding of AI and an interest in applying and AI in practical and creative ways