Data Platform Engineer II

Hiring Location: Singapore (or Shanghai)
Airwallex is the leading financial technology platform for modern businesses growing beyond borders. With one of the world's most powerful payments and banking infrastructures, our technology empowers businesses of all sizes to accept payments, move money globally, and simplify their financial operations, all in one single platform.
Established in 2015 in Melbourne, our purpose is to connect entrepreneurs, business builders, makers, and creators with opportunities in every corner of the world. Today, Airwallex has a global footprint across Asia-Pacific, Europe, and North America.
Who You Are? Role Overview:
In 2025, 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.
In this role, you will:
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.
You might be a great fit if you:
Have 3+ 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. 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 concerning the 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.
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