Senior Data Engineer (San Francisco)

About this 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

Our Strategic Data team builds the data foundations that support business intelligence, machine learning, and operational decision-making. You'll help create reliable, scalable data models and pipelines while improving how teams use data across the business.

• Design and implement robust, scalable data models that support business intelligence, machine learning, and operational needs.

• Select appropriate schema designs—including star schema, snowflake, normalized, and denormalized models—based on the use case.

• Partner with business teams to translate data needs into clean, structured, and well-documented models, while promoting a single source of truth across data layers and pipelines.

• Build and maintain batch and streaming ETL pipelines across the full data workflow, from ingestion and transformation through delivery.