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Airwallex

Senior Data Engineer, Data and AI, Customer Data Platform

Posted Yesterday
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In-Office
Singapore
Senior level
In-Office
Singapore
Senior level
Build scalable batch and real-time ETL pipelines, data models, and data products for Airwallex’s Customer Data Platform. Develop trusted data foundations across warehouses and cloud infrastructure to support analytics, machine learning, operational decision-making, business intelligence, and AI applications. Partner with globally distributed teams on complex technical work and apply data engineering best practices.
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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 2,300 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 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 forEssentials
  • A bachelor’s degree or higher in Computer Science, Information Systems, Mathematics, or a related field

  • At least five 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

  • Solid understanding of data schemas, including star, snowflake, normalised, and denormalised designs

  • Excellent analytical and problem-solving abilities, attention to detail, and effective communication and collaboration skills

  • An understanding of AI and an interest in applying data engineering and AI in practical and creative ways

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

  • Experience working with globally distributed teams

Learn more about your team

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.

 
 
Applicant Safety Policy: Fraud and Third-Party Recruiters

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.

Equal opportunity

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.

HQ

Airwallex San Francisco, California, USA Office

Airwallex San Francisco, US Office

188 Spear Street’s superior location is two blocks from the Embarcadero, the promenade running along the SF waterfront, and offers exceptional views and convenience through its easy access to BART, Muni, ferries, the Transbay Terminal, the Bay Bridge and all major freeways.

Sales

This is not just another sales role. It is a chance to sell a proven global platform, shape how we win across the Americas, and do career-defining work. You get the product, the territory, and the support to build real momentum.

AI Engineering

Our SF AI Engineering team at Airwallex is building production-grade AI that automates the hardest parts of global finance — from payments and onboarding to reconciliation, bookkeeping, and tax. Sitting on top of our proprietary global payments infrastructure and massive real-time transaction datasets, we design and ship vertical AI systems — from LLM-powered copilots and agentic workflows to fine-tuned models — that reach customers quickly and at scale. We’re a small, senior, zero-ego group with high ownership: engineers work end to end from problem framing and experimentation through to deployment and evals, using the right tool for the job to turn deep AI work into visible, shipped impact.

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