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Staff Data Platform Engineer Careers at Airwallex - Singapore | Apply Now!

Airwallex

Staff Data Platform Engineer Careers at Airwallex - Singapore | Apply Now!

full-timePosted: Jan 20, 2026

Job Description

Staff Data Platform Engineer at Airwallex: Powering the Future of Global Finance

Airwallex is revolutionizing the way businesses operate in the global economy. As the only unified payments and financial platform designed for global businesses, we empower over 200,000 companies worldwide with fully integrated solutions for business accounts, payments, spend management, treasury, and embedded finance. Our platform is built on a unique combination of proprietary infrastructure and software, allowing us to deliver unmatched speed, transparency, and cost-effectiveness.

We're looking for a highly skilled and experienced Staff Data Platform Engineer to join our Knowledge Platform team in Singapore. In this role, you will be a key driver in shaping the future of our data and AI infrastructure, enabling Airwallex to make data-driven decisions and deliver innovative solutions to our customers.

Role Overview

As a Staff Data Platform Engineer, you will be responsible for the strategy, architecture, development, and operation of Airwallex's data and AI platform. You will lead the design and implementation of scalable and reliable data infrastructure to support real-time data processing, advanced analytics, and machine learning workloads. You will also play a crucial role in ensuring the security, integrity, and governance of our data assets.

This is a high-impact role that requires a strong technical background, excellent leadership skills, and a passion for building world-class data platforms. You will work closely with data scientists, machine learning engineers, and other stakeholders to understand their data needs and provide innovative solutions.

A Day in the Life

Here's a glimpse into what your day might look like as a Staff Data Platform Engineer at Airwallex:

  • Start your day by reviewing the performance and health of the data platform, addressing any critical issues or alerts.
  • Attend a stand-up meeting with the Knowledge Platform team to discuss progress, challenges, and priorities.
  • Meet with data scientists and machine learning engineers to understand their data requirements for a new AI model.
  • Design a data pipeline to ingest and transform data from various sources into a format suitable for machine learning.
  • Implement the data pipeline using technologies such as Spark, Kafka, and Databricks.
  • Conduct code reviews and provide feedback to other engineers on the team.
  • Research and evaluate new technologies and tools to improve the data platform's capabilities.
  • Document the data platform architecture and operational procedures.
  • Participate in a planning session to define the roadmap for the data platform in the next quarter.

Why Singapore?

Singapore is a global hub for technology and innovation, making it an ideal location for Airwallex to build its data and AI capabilities. The city-state boasts a vibrant ecosystem of startups, established tech companies, and world-class research institutions. Singapore's strategic location in Southeast Asia also provides access to a diverse talent pool and a rapidly growing market for fintech solutions.

Airwallex's Singapore office is located in the heart of the city, offering a modern and collaborative work environment. Our team in Singapore is comprised of talented and passionate individuals from diverse backgrounds, all working together to build the future of global finance.

Career Path

Airwallex is committed to providing its employees with opportunities for growth and development. As a Staff Data Platform Engineer, you will have the opportunity to advance your career in several directions. You could become a Principal Engineer, leading a team of engineers and driving the technical vision for the data platform. Alternatively, you could transition into an Architect role, focusing on the overall architecture and design of Airwallex's systems.

We also offer opportunities to move into management roles, leading engineering teams and shaping the strategic direction of the company. We encourage our employees to explore different career paths and provide them with the support and resources they need to succeed.

Salary & Benefits

Airwallex offers a competitive salary and benefits package to attract and retain top talent. The estimated salary range for a Staff Data Platform Engineer in Singapore is $180,000 - $280,000 USD per year, depending on experience and qualifications. In addition to base salary, we offer a comprehensive benefits package that includes:

  • Health, dental, and vision insurance
  • Generous paid time off and holidays
  • Flexible work arrangements
  • Professional development opportunities
  • Employee assistance program
  • Wellness programs
  • Commuter benefits
  • Company-sponsored events and activities
  • Snacks and beverages in the office
  • Team lunches and outings

Airwallex Culture

Airwallex is a fast-paced, dynamic, and collaborative company. We are looking for individuals who are passionate about innovation, driven to succeed, and committed to building a world-class company. We value teamwork, open communication, and a customer-centric approach.

We believe that our employees are our greatest asset, and we are committed to providing them with a supportive and rewarding work environment. We offer opportunities for growth and development, and we encourage our employees to take ownership of their work and make a real impact on the company's success.

How to Apply

If you are interested in joining the Airwallex team as a Staff Data Platform Engineer, we encourage you to apply online. Please submit your resume and a cover letter outlining your qualifications and experience. We will review your application carefully and contact you if we believe you are a good fit for the role.

FAQ

  1. What is Airwallex?

    Airwallex is the only unified payments and financial platform for global businesses. We empower businesses of all sizes to accept payments, move money globally, and simplify their financial operations.

  2. What does the Knowledge Platform team do?

    The Knowledge Platform team builds the foundational infrastructure that enables the entire company to leverage data, AI, and ML for business impact. This includes managing data infrastructure, serving data to users, and hosting and governing AI/ML models.

  3. What skills are required for this role?

    The ideal candidate will have a strong background in data engineering, data architecture, and AI/ML platform development. Proficiency in technologies such as Spark, Kafka, Databricks, and cloud computing platforms is also essential.

  4. What are the responsibilities of a Staff Data Platform Engineer?

    Responsibilities include defining the data platform strategy, designing and implementing data infrastructure, leading the development of the AI/ML platform, and ensuring data security and governance.

  5. What is the career path for this role?

    Opportunities for career advancement include becoming a Principal Engineer, Architect, or transitioning into a management role.

  6. What is the salary range for this role?

    The estimated salary range for a Staff Data Platform Engineer in Singapore is $180,000 - $280,000 USD per year.

  7. What benefits does Airwallex offer?

    Airwallex offers a comprehensive benefits package, including health insurance, paid time off, flexible work arrangements, and professional development opportunities.

  8. What is the culture like at Airwallex?

    Airwallex is a fast-paced, dynamic, and collaborative company. We value teamwork, open communication, and a customer-centric approach.

  9. How do I apply for this role?

    You can apply online by submitting your resume and a cover letter outlining your qualifications and experience.

  10. What are Airwallex's operating principles?

    Airwallex's operating principles guide how we work and make decisions. They include customer obsession, bias for action, ownership, and continuous improvement.

Locations

  • Singapore, Singapore, Singapore

Salary

Estimated Salary Rangemedium confidence

198,000 - 308,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Architectureintermediate
  • Data Modelingintermediate
  • Data Governanceintermediate
  • Real-time Data Processingintermediate
  • AI/ML Platform Developmentintermediate
  • Sparkintermediate
  • Kafkaintermediate
  • Databricksintermediate
  • RAG (Retrieval-Augmented Generation)intermediate
  • MCP (Model Control Plane)intermediate
  • Cloud Computing (AWS, Azure, GCP)intermediate
  • Kubernetesintermediate
  • Data Securityintermediate
  • Pythonintermediate
  • Javaintermediate
  • Scalaintermediate
  • SQLintermediate
  • Big Data Technologiesintermediate
  • Data Streamingintermediate
  • DevOpsintermediate
  • CI/CDintermediate
  • Microservices Architectureintermediate
  • API Developmentintermediate
  • System Monitoringintermediate
  • Performance Tuningintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field. (experience)
  • 10+ years of experience in data engineering, with a focus on building and scaling data platforms. (experience)
  • Deep understanding of data architecture principles, data modeling techniques, and data governance best practices. (experience)
  • Extensive experience with real-time data processing technologies such as Kafka, Spark Streaming, or Flink. (experience)
  • Proven track record of designing and implementing AI/ML platforms, including model deployment and monitoring. (experience)
  • Strong expertise in cloud computing platforms such as AWS, Azure, or GCP. (experience)
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes. (experience)
  • Solid understanding of data security principles and practices. (experience)
  • Proficiency in programming languages such as Python, Java, or Scala. (experience)
  • Experience with big data technologies and data streaming platforms. (experience)
  • Strong analytical and problem-solving skills. (experience)
  • Excellent communication and collaboration skills. (experience)
  • Ability to work independently and as part of a team. (experience)
  • Experience with DevOps practices and CI/CD pipelines. (experience)
  • Experience with microservices architecture and API development. (experience)
  • Experience with system monitoring and performance tuning. (experience)

Responsibilities

  • Define and drive the strategy for Airwallex's data platform, aligning it with the company's overall business objectives.
  • Design and implement scalable and reliable data infrastructure to support real-time data processing and AI/ML workloads.
  • Lead the development of the AI/ML platform, including model deployment, monitoring, and governance.
  • Ensure the security and integrity of the data platform, adhering to industry best practices and regulatory requirements.
  • Collaborate with data scientists, machine learning engineers, and other stakeholders to understand their data needs and provide solutions.
  • Mentor and guide other engineers on the team, providing technical leadership and expertise.
  • Stay up-to-date with the latest trends and technologies in data engineering and AI/ML.
  • Evaluate and select new technologies and tools to improve the data platform's capabilities and efficiency.
  • Develop and maintain documentation for the data platform, including architecture diagrams, design documents, and operational procedures.
  • Participate in code reviews and ensure code quality.
  • Troubleshoot and resolve issues with the data platform, ensuring high availability and performance.
  • Automate data platform operations and maintenance tasks.
  • Contribute to the development of data governance policies and procedures.
  • Lead efforts to improve data quality and accuracy.

Benefits

  • general: Competitive salary and equity package.
  • general: Comprehensive health, dental, and vision insurance.
  • general: Generous paid time off and holidays.
  • general: Flexible work arrangements.
  • general: Professional development opportunities.
  • general: Employee assistance program.
  • general: Wellness programs.
  • general: Commuter benefits.
  • general: Company-sponsored events and activities.
  • general: Snacks and beverages in the office.
  • general: Team lunches and outings.
  • general: Opportunity to work on challenging and impactful projects.
  • general: Collaborative and supportive work environment.
  • general: Opportunity to learn and grow with a fast-growing company.
  • general: Exposure to cutting-edge technologies and innovative solutions.
  • general: Global mobility opportunities.
  • general: Relocation assistance (if applicable).
  • general: Parental leave
  • general: Life insurance
  • general: Disability insurance
  • general: Retirement plan
  • general: Performance bonuses
  • general: Stock options

Target Your Resume for "Staff Data Platform Engineer Careers at Airwallex - Singapore | Apply Now!" , Airwallex

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Tags & Categories

Data EngineeringPlatform EngineeringAI/MLSingaporeFintechStaff Data Platform EngineerData EngineerData PlatformAI/ML PlatformAirwallexData ArchitectureData ModelingData GovernanceReal-time Data ProcessingSparkKafkaDatabricksCloud ComputingAWSAzureGCPKubernetesData SecurityPythonJavaScalaBig DataData StreamingMachine LearningArtificial IntelligenceFinancial TechnologyData InfrastructurePlatform EngineerData ScienceFinTechPaymentsEngineeringProduct

Answer 10 quick questions to check your fit for Staff Data Platform Engineer Careers at Airwallex - Singapore | Apply Now! @ Airwallex.

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Airwallex logo

Staff Data Platform Engineer Careers at Airwallex - Singapore | Apply Now!

Airwallex

Staff Data Platform Engineer Careers at Airwallex - Singapore | Apply Now!

full-timePosted: Jan 20, 2026

Job Description

Staff Data Platform Engineer at Airwallex: Powering the Future of Global Finance

Airwallex is revolutionizing the way businesses operate in the global economy. As the only unified payments and financial platform designed for global businesses, we empower over 200,000 companies worldwide with fully integrated solutions for business accounts, payments, spend management, treasury, and embedded finance. Our platform is built on a unique combination of proprietary infrastructure and software, allowing us to deliver unmatched speed, transparency, and cost-effectiveness.

We're looking for a highly skilled and experienced Staff Data Platform Engineer to join our Knowledge Platform team in Singapore. In this role, you will be a key driver in shaping the future of our data and AI infrastructure, enabling Airwallex to make data-driven decisions and deliver innovative solutions to our customers.

Role Overview

As a Staff Data Platform Engineer, you will be responsible for the strategy, architecture, development, and operation of Airwallex's data and AI platform. You will lead the design and implementation of scalable and reliable data infrastructure to support real-time data processing, advanced analytics, and machine learning workloads. You will also play a crucial role in ensuring the security, integrity, and governance of our data assets.

This is a high-impact role that requires a strong technical background, excellent leadership skills, and a passion for building world-class data platforms. You will work closely with data scientists, machine learning engineers, and other stakeholders to understand their data needs and provide innovative solutions.

A Day in the Life

Here's a glimpse into what your day might look like as a Staff Data Platform Engineer at Airwallex:

  • Start your day by reviewing the performance and health of the data platform, addressing any critical issues or alerts.
  • Attend a stand-up meeting with the Knowledge Platform team to discuss progress, challenges, and priorities.
  • Meet with data scientists and machine learning engineers to understand their data requirements for a new AI model.
  • Design a data pipeline to ingest and transform data from various sources into a format suitable for machine learning.
  • Implement the data pipeline using technologies such as Spark, Kafka, and Databricks.
  • Conduct code reviews and provide feedback to other engineers on the team.
  • Research and evaluate new technologies and tools to improve the data platform's capabilities.
  • Document the data platform architecture and operational procedures.
  • Participate in a planning session to define the roadmap for the data platform in the next quarter.

Why Singapore?

Singapore is a global hub for technology and innovation, making it an ideal location for Airwallex to build its data and AI capabilities. The city-state boasts a vibrant ecosystem of startups, established tech companies, and world-class research institutions. Singapore's strategic location in Southeast Asia also provides access to a diverse talent pool and a rapidly growing market for fintech solutions.

Airwallex's Singapore office is located in the heart of the city, offering a modern and collaborative work environment. Our team in Singapore is comprised of talented and passionate individuals from diverse backgrounds, all working together to build the future of global finance.

Career Path

Airwallex is committed to providing its employees with opportunities for growth and development. As a Staff Data Platform Engineer, you will have the opportunity to advance your career in several directions. You could become a Principal Engineer, leading a team of engineers and driving the technical vision for the data platform. Alternatively, you could transition into an Architect role, focusing on the overall architecture and design of Airwallex's systems.

We also offer opportunities to move into management roles, leading engineering teams and shaping the strategic direction of the company. We encourage our employees to explore different career paths and provide them with the support and resources they need to succeed.

Salary & Benefits

Airwallex offers a competitive salary and benefits package to attract and retain top talent. The estimated salary range for a Staff Data Platform Engineer in Singapore is $180,000 - $280,000 USD per year, depending on experience and qualifications. In addition to base salary, we offer a comprehensive benefits package that includes:

  • Health, dental, and vision insurance
  • Generous paid time off and holidays
  • Flexible work arrangements
  • Professional development opportunities
  • Employee assistance program
  • Wellness programs
  • Commuter benefits
  • Company-sponsored events and activities
  • Snacks and beverages in the office
  • Team lunches and outings

Airwallex Culture

Airwallex is a fast-paced, dynamic, and collaborative company. We are looking for individuals who are passionate about innovation, driven to succeed, and committed to building a world-class company. We value teamwork, open communication, and a customer-centric approach.

We believe that our employees are our greatest asset, and we are committed to providing them with a supportive and rewarding work environment. We offer opportunities for growth and development, and we encourage our employees to take ownership of their work and make a real impact on the company's success.

How to Apply

If you are interested in joining the Airwallex team as a Staff Data Platform Engineer, we encourage you to apply online. Please submit your resume and a cover letter outlining your qualifications and experience. We will review your application carefully and contact you if we believe you are a good fit for the role.

FAQ

  1. What is Airwallex?

    Airwallex is the only unified payments and financial platform for global businesses. We empower businesses of all sizes to accept payments, move money globally, and simplify their financial operations.

  2. What does the Knowledge Platform team do?

    The Knowledge Platform team builds the foundational infrastructure that enables the entire company to leverage data, AI, and ML for business impact. This includes managing data infrastructure, serving data to users, and hosting and governing AI/ML models.

  3. What skills are required for this role?

    The ideal candidate will have a strong background in data engineering, data architecture, and AI/ML platform development. Proficiency in technologies such as Spark, Kafka, Databricks, and cloud computing platforms is also essential.

  4. What are the responsibilities of a Staff Data Platform Engineer?

    Responsibilities include defining the data platform strategy, designing and implementing data infrastructure, leading the development of the AI/ML platform, and ensuring data security and governance.

  5. What is the career path for this role?

    Opportunities for career advancement include becoming a Principal Engineer, Architect, or transitioning into a management role.

  6. What is the salary range for this role?

    The estimated salary range for a Staff Data Platform Engineer in Singapore is $180,000 - $280,000 USD per year.

  7. What benefits does Airwallex offer?

    Airwallex offers a comprehensive benefits package, including health insurance, paid time off, flexible work arrangements, and professional development opportunities.

  8. What is the culture like at Airwallex?

    Airwallex is a fast-paced, dynamic, and collaborative company. We value teamwork, open communication, and a customer-centric approach.

  9. How do I apply for this role?

    You can apply online by submitting your resume and a cover letter outlining your qualifications and experience.

  10. What are Airwallex's operating principles?

    Airwallex's operating principles guide how we work and make decisions. They include customer obsession, bias for action, ownership, and continuous improvement.

Locations

  • Singapore, Singapore, Singapore

Salary

Estimated Salary Rangemedium confidence

198,000 - 308,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Architectureintermediate
  • Data Modelingintermediate
  • Data Governanceintermediate
  • Real-time Data Processingintermediate
  • AI/ML Platform Developmentintermediate
  • Sparkintermediate
  • Kafkaintermediate
  • Databricksintermediate
  • RAG (Retrieval-Augmented Generation)intermediate
  • MCP (Model Control Plane)intermediate
  • Cloud Computing (AWS, Azure, GCP)intermediate
  • Kubernetesintermediate
  • Data Securityintermediate
  • Pythonintermediate
  • Javaintermediate
  • Scalaintermediate
  • SQLintermediate
  • Big Data Technologiesintermediate
  • Data Streamingintermediate
  • DevOpsintermediate
  • CI/CDintermediate
  • Microservices Architectureintermediate
  • API Developmentintermediate
  • System Monitoringintermediate
  • Performance Tuningintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field. (experience)
  • 10+ years of experience in data engineering, with a focus on building and scaling data platforms. (experience)
  • Deep understanding of data architecture principles, data modeling techniques, and data governance best practices. (experience)
  • Extensive experience with real-time data processing technologies such as Kafka, Spark Streaming, or Flink. (experience)
  • Proven track record of designing and implementing AI/ML platforms, including model deployment and monitoring. (experience)
  • Strong expertise in cloud computing platforms such as AWS, Azure, or GCP. (experience)
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes. (experience)
  • Solid understanding of data security principles and practices. (experience)
  • Proficiency in programming languages such as Python, Java, or Scala. (experience)
  • Experience with big data technologies and data streaming platforms. (experience)
  • Strong analytical and problem-solving skills. (experience)
  • Excellent communication and collaboration skills. (experience)
  • Ability to work independently and as part of a team. (experience)
  • Experience with DevOps practices and CI/CD pipelines. (experience)
  • Experience with microservices architecture and API development. (experience)
  • Experience with system monitoring and performance tuning. (experience)

Responsibilities

  • Define and drive the strategy for Airwallex's data platform, aligning it with the company's overall business objectives.
  • Design and implement scalable and reliable data infrastructure to support real-time data processing and AI/ML workloads.
  • Lead the development of the AI/ML platform, including model deployment, monitoring, and governance.
  • Ensure the security and integrity of the data platform, adhering to industry best practices and regulatory requirements.
  • Collaborate with data scientists, machine learning engineers, and other stakeholders to understand their data needs and provide solutions.
  • Mentor and guide other engineers on the team, providing technical leadership and expertise.
  • Stay up-to-date with the latest trends and technologies in data engineering and AI/ML.
  • Evaluate and select new technologies and tools to improve the data platform's capabilities and efficiency.
  • Develop and maintain documentation for the data platform, including architecture diagrams, design documents, and operational procedures.
  • Participate in code reviews and ensure code quality.
  • Troubleshoot and resolve issues with the data platform, ensuring high availability and performance.
  • Automate data platform operations and maintenance tasks.
  • Contribute to the development of data governance policies and procedures.
  • Lead efforts to improve data quality and accuracy.

Benefits

  • general: Competitive salary and equity package.
  • general: Comprehensive health, dental, and vision insurance.
  • general: Generous paid time off and holidays.
  • general: Flexible work arrangements.
  • general: Professional development opportunities.
  • general: Employee assistance program.
  • general: Wellness programs.
  • general: Commuter benefits.
  • general: Company-sponsored events and activities.
  • general: Snacks and beverages in the office.
  • general: Team lunches and outings.
  • general: Opportunity to work on challenging and impactful projects.
  • general: Collaborative and supportive work environment.
  • general: Opportunity to learn and grow with a fast-growing company.
  • general: Exposure to cutting-edge technologies and innovative solutions.
  • general: Global mobility opportunities.
  • general: Relocation assistance (if applicable).
  • general: Parental leave
  • general: Life insurance
  • general: Disability insurance
  • general: Retirement plan
  • general: Performance bonuses
  • general: Stock options

Target Your Resume for "Staff Data Platform Engineer Careers at Airwallex - Singapore | Apply Now!" , Airwallex

Get personalized recommendations to optimize your resume specifically for Staff Data Platform Engineer Careers at Airwallex - Singapore | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Staff Data Platform Engineer Careers at Airwallex - Singapore | Apply Now!" , Airwallex

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data EngineeringPlatform EngineeringAI/MLSingaporeFintechStaff Data Platform EngineerData EngineerData PlatformAI/ML PlatformAirwallexData ArchitectureData ModelingData GovernanceReal-time Data ProcessingSparkKafkaDatabricksCloud ComputingAWSAzureGCPKubernetesData SecurityPythonJavaScalaBig DataData StreamingMachine LearningArtificial IntelligenceFinancial TechnologyData InfrastructurePlatform EngineerData ScienceFinTechPaymentsEngineeringProduct

Answer 10 quick questions to check your fit for Staff Data Platform Engineer Careers at Airwallex - Singapore | Apply Now! @ Airwallex.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.