Staff Data Engineer

Airwallex4 days ago

Location

SG - Singapore

Type

Full Time

Salary

SGD 150,000 – 250,000

Level

Staff

Role

Data Engineer

Posted

Mar 19, 2026

Full TimeStaff

The role

Summary

A Staff Data Engineer role at Airwallex in Singapore, focusing on building robust data infrastructure for a global fintech platform. The ideal candidate will design scalable data models, manage complex ETL pipelines, and contribute to data governance strategies while supporting Airwallex's mission of creating a unified global payments platform.

What you'll do

Data Modeling: Design and implement robust, scalable data models supporting business intelligence, machine learning, and operational needs

ETL Pipeline Management: Build and maintain batch and streaming ETL pipelines, ensuring efficient data ingestion, transformation, and delivery

Data Governance: Contribute to data governance strategies, policies, and standards across six key governance pillars

Cross-Functional Collaboration: Work closely with Data Platform Engineers, Product Managers, and business teams to translate data requirements into structured models

What we look for

Technical

Data ModelingExpertise in designing scalable data schemas, including star schema, snowflake schema, and understanding of normalized vs denormalized data structures

ETL Pipeline DevelopmentProven experience in building and maintaining both batch and streaming ETL pipelines using modern data infrastructure tools

Cloud PlatformsProficiency in Google Cloud Platform (GCP) and familiarity with modern data tools like Databricks and Airflow

Education

Academic QualificationBachelor's degree or higher in Computer Science, Information Systems, Finance, Mathematics, or related field

Experience

Professional ExperienceMinimum 7 years of experience in designing and implementing ETL pipelines and data infrastructure

Skills

Required skills

SQLAdvanced proficiency in SQL and database management systems like MySQL, PostgreSQL, Oracle

Data Pipeline ToolsExperience with streaming data technologies like Apache Kafka or Apache Flink

Data GovernanceUnderstanding of data governance practices, particularly in financial industry contexts

Nice to have

Scripting LanguagesExperience with Python or R for data analysis and automation

Fintech DomainPrior experience in financial services, payment systems, or fintech platforms

Compensation & benefits

Salary

SGD 150,000 – 250,000 (annual)

Benefits

Competitive Compensation

Competitive salary with equity options in a high-growth fintech

Global Work Environment

Opportunity to work in a rapidly growing, global company with 26 international offices

Professional Development

Accelerated learning opportunities and ability to tackle complex, high-visibility problems

Interview process

1
Initial Screening — Review of resume and initial qualifications
2
Technical Assessment — Comprehensive evaluation of data engineering skills and problem-solving capabilities
3
Team Interview — Technical interviews with Data Engineering team members to assess technical expertise and cultural fit
4
Final Interview — Discussion with senior leadership about role alignment and company mission