Staff Data Engineer, Data and AI, Customer Data Platform

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.

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.

• 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, machine learning, 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 data engineering and AI in practical and creative ways

• Familiarity with Google Cloud Platform and modern data infrastructure tools, including Databricks and Airflow

The Customer Data Platform team is building Airwallex’s trusted customer-data foundation—unifying customer entities, signals and metrics so that teams, products and AI systems can make better decisions and take action.

To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.

Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.