Senior / Data Platform Engineer, Growth Data Platform

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 2,200 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.

We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.

You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.

The Knowledge Platform team is at the heart of our company's data and AI strategy. We are building the foundational infrastructure that empowers the entire company to leverage data, AI, and ML into business impact. We accomplish this by creating platforms that handle the entire data and AI/ML lifecycle, simplifying the interface while providing proper safety and governance. This includes managing our data infrastructure (Databricks, Spark, Kafka, etc.), the technology to serve that data to our users (RAG, MCP, etc.), and the platform to host and govern these AI/ML models. As a data platform engineer, you'll work directly within the business scenarios of the Growth Team.

As a senior-level engineer, you will lead system design, drive impactful projects across the team, and provide guidance to Data Platform Engineers to support project delivery. You will focus on data infrastructure, scheduling optimization, and pipeline efficiency to achieve faster processing and significantly reduced data latency.

This role is based in Singapore.

• Focus on the data platform and data processing scenarios within Airwallex's Growth Team, specifically targeting Acquisition, Outbound, Activation, Retention, Monetization, and Revenue.

• Design, build, and maintain scalable, reliable batch and stream data pipelines for internal analytics and operational use cases.

• Build data ingestion frameworks connecting internal systems with the centralized data platform using tools like Kafka, Flink, or Spark.

• Collaborate with senior engineers to define and maintain internal data engineering tools, standards, and practices.

• Contribute to automation and reliability improvements that reduce data latency and improve platform scalability.

• Assist with the integration of external (third-party) data sources and handle data quality and consistency concerns.

• Work cross-functionally with product, engineering, and BI teams to translate business requirements into engineering solutions.

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

• Around 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 work with senior/leader data platform engineers to design, build, and operate distributed systems and establish overarching data architecture.

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

• Have experience working with data at PB scale.

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

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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.