Staff Data Engineer, Data and AI, Customer Data Platform

Airwallex; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Airwallex, the AI-native financial operating system, is building the data foundations for its Customer Data Platform in Singapore. This in-office role will contribute to scalable ETL pipelines and reliable data foundations across data warehouses and modern cloud infrastructure.

You’ll develop data models supporting analytics, ML, and business intelligence, using star/snowflake/denormal designs, and apply AI best practices to practical problems while coordinating with globally distributed teams.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, or related field.
• At least seven years designing and implementing scalable ETL pipelines (batch and streaming).
• Experience with streaming tech (Kafka or Flink).
• Strong SQL, data warehousing, and BI-oriented data modeling.
• Understanding of data schemas (star, snowflake, denormalised).
• Excellent analytical, problem-solving, and collaboration skills.
• Interest in applying AI to data engineering in practical ways.

Responsibilities

• Own scalable ETL pipelines across batch and real-time workflows.
• Build reliable data foundations across data warehouses and data platforms.
• Develop data models and products for analytics, ML, and BI.
• Apply data engineering and AI best practices to solve practical problems.
• Collaborate with globally distributed teams to deliver complex work.

Skills

Bachelor level degree

7+ years ETL design

Streaming technologies

SQL and data warehousing

Data modeling (star/snowflake/denormal

Analytical thinking

AI awareness/use of data engineering

Education

Bachelor’s degree in CS/IS/Math

Tools

Databricks

Airflow

Kafka

Flink

Job 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 2,300 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.

How you'll make impact

You'll build the data foundations that power Airwallex's Customer Data Platform, helping teams turn customer information into trusted, reusable data for analytics, machine learning, operational decision-making, and practical AI applications.

• Own scalable ETL pipelines across batch and real-time workflows, using technologies such as Databricks, DBT, and Spark

• Build reliable data foundations across data warehouses, data consumption platforms, and modern cloud data infrastructure

• Develop data models and data products that support operational needs, agentic workflows, machine learning, and business intelligence including star, snowflake, normalised, and denormalised designs

• Apply data engineering and AI best practices to solve practical problems in creative and scalable ways

• Partner with globally distributed teams to deliver complex technical work with strong problem-solving, attention to detail, communication, and collaboration

This is an in-office role — you'll be in our Singapore office five days a week.

What we're looking for

Essentials

• A bachelor’s degree or higher in Computer Science, Information Systems, Mathematics, or a related field

• At least seven years of experience designing and implementing scalable ETL pipelines, including batch and streaming workflows

• Experience with streaming technologies such as Apache Kafka or Apache Flink

• Strong proficiency in SQL, database management systems, data warehousing, and data modelling for business intelligence, machine learning, and operational needs

• Solid understanding of data schemas, including star, snowflake, normalised, and denormalised designs

• Excellent analytical and problem-solving abilities, attention to detail, and effective communication and collaboration skills

• An understanding of AI and an interest in applying data engineering and AI in practical and creative ways

Preferred

• Familiarity with Google Cloud Platform and modern data infrastructure tools, including Databricks and Airflow

• Experience working with globally distributed teams

Learn more about your team

The Customer Data Platform team is building Airwallex’s trusted customer-data foundation—unifying customer entities, signals and metrics so that teams, products and AI systems can make better decisions and take action.

Applicant Safety Policy: Fraud and Third-Party Recruiters

To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.

Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

Equal opportunity

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.