Description
About the Role
As a Senior Data Platform Engineer on the Knowledge Platform & AI Enablement team at Airwallex, you will play a critical role in building the next generation of data and knowledge infrastructure. This involves turning structured and unstructured information into trusted context for people and AI systems.
Key Responsibilities
- Design, develop, and operate large-scale distributed data systems across batch and streaming workloads, improving data latency, reliability, and engineering productivity.
- Drive foundational technical decisions across data processing, service-layer infrastructure, application-layer systems, third-party data integrations, and performance optimisation.
- Build and automate high-performance distributed data processing systems that support Airwallex's data and AI capabilities.
- Lead medium- and large-scale engineering projects from system design through delivery, creating impact across the team and organisation.
- Raise engineering standards through scalable data architecture, shared tooling, high-quality software practices, and technical guidance for other engineers.
Requirements
- 5+ years of relevant experience as a data engineer.
- A Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, or equivalent experience.
- Strong programming skills in one or more of Kotlin, Java, Scala, Python, and SQL.
- Experience designing, building, and operating distributed systems, including establishing overarching data architecture.
- Strong working knowledge of real-time and batch data processing systems.
- Experience working with data at petabyte scale.
- Experience making technical decisions across data processing, service-layer infrastructure, application-layer systems, third-party data integrations, and performance optimisation.
- Experience developing and automating large-scale, high-performance distributed data processing systems.
- A track record of driving medium- and large-scale engineering projects from design through delivery.
- A commitment to high-quality software engineering practices and scalable data infrastructure.
- Experience mentoring or providing technical guidance to other engineers.
Preferred Qualifications
- Experience with Kafka, data lakes, Spark, Flink, dbt, Spring Boot, Hadoop, BigQuery, or Snowflake.
- Experience contributing to shared data engineering standards, tools, or platforms that improve engineering productivity and output quality.
- Experience with next-generation data architectures such as lakehouse systems.
- Experience working in a high-growth or scaling environment.
Work Environment
- You will work from our Singapore office five days a week.
Team Culture
- The Knowledge Platform sits at the foundation of Airwallex's Data and AI strategy, evolving traditional data infrastructure into knowledge infrastructure.
- You will build the platform end-to-end, from core technologies to real-time analytics, knowledge retrieval, and AI interaction history.
Benefits
- Competitive salary.
- Opportunity to work with cutting-edge technology.
- Collaborative and dynamic work environment.
Equal Opportunity Employer
- Airwallex is an equal opportunity employer committed to diversity and inclusion.