Senior Data Platform Engineer, Knowledge Platform & AI Enablement

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.

About the team

The Data Platform Engineering team is going to implement various data processing tasks on the newly built next-generation data platform. We aim to further optimize data storage, processing, application, interfaces, and other dimensions. Throughout the continuous iteration process, we will also incorporate new data components and consider new data architectures (such as Lake House) to achieve faster data scheduling, significantly reducing data latency and enabling more efficient operation of data engineering applications.

What you'll do

In this data engineering role, we are seeking engineers with a background in data engineering to join us in various aspects of data engineering, leveraging your past experiences in the field. As a senior-level engineer, you'll take the lead in system design. Additionally, we expect you to drive medium and large-scale projects that create an impact across the entire team. On mentorship: In the mid to later stages of your role, you'll provide dotted-line guidance to Data Platform Engineer II(s) to support them in driving project delivery.

This role is based in Singapore.

Responsibilities:

Engage in technical decision-making, custom development, integration, and performance optimization at the foundational level, extending to the development of service layer infrastructure components, application layer, and data processing, including third-party data integration. Your contributions will enable Airwallex to evolve into a truly data-driven organization.

Develop and automate large-scale, high-performance distributed data processing systems (batch/streaming) to drive Airwallex's business growth and enhance product experiences.

Advocate for high-quality software engineering practices to establish scalable data infrastructure and pipelines.

Contribute to defining shared data engineering tool standards to enhance the productivity and output quality of data engineers across the company.

Provide guidance to junior engineers.

Who you are

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum qualifications:

5+ years of relevant experience as a data engineer.

Hold a Bachelor's or Master's degree in CS/CE/CIS (or equivalent experience) with knowledge of Kotlin / Java / Scala / Python / SQL.

Ability to take ownership of designing, building, and operating distributed systems and establishing overarching data architecture.

Possess strong working knowledge of Real-time/Batch processing systems.

Have experience with working data at PB scale.

Preferred qualifications:

Knowledge of Kafka, Data Lake, Spark, Flink, DBT, Spring Boot, Hadoop, BigQuery, and Snowflake is preferred.

#singapore

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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.