Senior Data Platform Engineer, Knowledge Platform & AI Enablement

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.