# Senior Data Platform Engineer, Knowledge Platform & AI Enablement at Airwallex

Airwallex is hiring a Senior Data Platform Engineer, Knowledge Platform & AI Enablement in Singapore, Singapore. Level rates it Little AI ●○○○; you can [apply on Airwallex](https://jobsbylevel.com/go/5a6644f0-4e29-4a60-9e02-772a28b0faa4?utm_medium=ai-agent).

AI Level 1, AI centrality 8 out of 100. SG - Singapore.

## Details

- Company: [Airwallex](https://jobsbylevel.com/companies/airwallex)
- AI level: AI Level 1 (score 8 out of 100)
- Location: SG - Singapore
- Posted: March 6, 2026
- Apply: https://jobsbylevel.com/go/5a6644f0-4e29-4a60-9e02-772a28b0faa4?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-data-platform-engineer-knowledge-platform-ai-enablement-at-airwallex-fb6f84

## Description

About Airwallex Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own. We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific. We're co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full. About the team 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. How you'll make impact You’ll help build the next generation of Airwallex’s data and knowledge infrastructure, turning structured and unstructured information into trusted context for people and AI systems. Own the design, development, and operation of 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 wider organisation. Raise engineering standards through scalable data architecture, shared tooling, high-quality software practices, and technical guidance for other engineers. You'll work from our Singapore office five days a week. What we're looking for Essentials 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 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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-data-platform-engineer-knowledge-platform-ai-enablement-at-airwallex-fb6f84

Source: https://jobsbylevel.com/jobs/senior-data-platform-engineer-knowledge-platform-ai-enablement-at-airwallex-fb6f84

## Cite this page

Level. https://jobsbylevel.com/jobs/senior-data-platform-engineer-knowledge-platform-ai-enablement-at-airwallex-fb6f84.

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