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 150,000 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 1,800 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$6.2 billion and backed by world-leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, 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.

Preliminary Note - Basic Information About This Role: This role belongs to the Knowledge Platform Team, as a senior data platform engineer, you’ll work directly within the business scenarios of the Growth Team.

In 2024, 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.

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.

You will focus on the data platform and data processing scenarios within Airwallex’s Growth Team, with a specific focus on the key areas of Acquisition, Outbound, Activation, Retention, Monetization, and Revenue, etc.

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

- Participate in building 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 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.

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.

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

- Ability to work with senior/leader data platform engineers to design, build, and operate 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.

At Airwallex you’ll have the ability to make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative.

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.

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. If you are approached by someone claiming to represent Airwallex, please verify with our team.