Inactive
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Airwallex

Runs global payments and accounts for businesses

Staff Software Engineer - Data Platform

Data EngineeringPosted on Apr 1
Full-timeSingaporeNo salary listed

About the Job

Requirements

  • At least 8 years of experience in data platforms, data engineering, distributed systems, or an equivalent combination of professional and academic experience in a quantitative field.
  • Experience leading company-wide initiatives across multiple teams or influencing technical roadmap planning.
  • A track record of collaborating with diverse teams and stakeholders to deliver tangible business outcomes.
  • Ability to balance execution and velocity with rigorous research, statistical understanding, and scalable system design.
  • Experience mentoring and investing in the development of engineers, scientists, and peers.
  • Technical leadership experience across significant data platform projects, including ETL frameworks, metrics stores, infrastructure management, and data security.
  • Experience building, deploying, and maintaining reliable, multi-region data pipelines at scale.
  • Familiarity with workflow and orchestration frameworks such as Airflow or dbt.

Responsibilities

  • Set the technical direction for Airwallex's data and AI platforms, shaping reliable systems that turn data and AI into measurable business impact.
  • Lead the identification and resolution of company-wide challenges through scalable data platform solutions, working across teams to influence technical roadmaps and decision-making.
  • Build and evolve the infrastructure behind Airwallex's data ecosystem, including Databricks, Spark, Kafka, real-time analytics, knowledge retrieval and indexing, model infrastructure, and agent capabilities.
  • Raise the bar on engineering craft, platform governance, security, reliability, and operational excellence while staying hands-on with complex technical problems.
  • Mentor engineers and technical contributors, helping build a high-performing team and a culture of innovation, ownership, and continuous learning.
  • Build the Knowledge Platform end to end, from core technologies to real-time analytics, knowledge retrieval and indexing, model infrastructure, agent capabilities, and AI interaction history.
  • Develop evaluation, annotation, feedback, governance, permission, and freshness frameworks required to operate AI reliably at global financial scale.
  • Enable teams to explore data through natural language, investigate business drivers in real time, and give AI systems secure access to context and capabilities for supporting decisions and executing workflows.

Desired Qualifications

  • Hands-on experience designing data processing patterns for a modern lakehouse architecture.
  • Experience designing and developing standard framework modules, high-performance services, and client libraries for big data systems.
  • Experience with technologies such as GCP, Databricks, BigQuery, Dataproc, Kafka, Kubernetes, Spark, Dataflow, Google Cloud Storage, and Airflow.
  • Excellent written and verbal communication skills, with the ability to tailor technical concepts for leadership, users, and company-wide audiences.
  • Experience rapidly evaluating technologies and running proofs of concept to inform architecture decisions.
  • Experience thriving in a complex, fast-moving environment.

About the Company

Airwallex

Runs global payments and accounts for businesses

Airwallex runs a financial platform for businesses that sell, buy and operate across borders, from startups to large enterprises. Its multi-currency accounts let customers receive and hold money locally, then pay overseas suppliers without converting every sale into their home currency. Businesses also use its corporate cards and expense controls to manage spending, while online sellers accept customer payments through its checkout tools. Finance teams work in a web app, and developers embed the services in other software; Airwallex earns transaction fees and charges for paid software plans. Founded in Melbourne in 2015, Airwallex has dual headquarters in Singapore and San Francisco.

Company size
1,001-5,000
Company stage
Series H
Total funding
$1.7B
Headquarters
Singapore, Singapore
Founded
2015

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