Senior Data Engineer, Data and AI, Customer Data Platform

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

Job summary

Airwallex in Singapore is seeking a data engineer to build the data foundations powering our Customer Data Platform. You will own scalable ETL pipelines for batch and real-time workloads, design robust data models, and partner with global teams to deliver high-impact data products.

The role emphasizes SQL excellence, star/snowflake schemas, and applying AI practices to practical data engineering challenges using Databricks, Airflow, and GCP.

Qualifications

• Five+ years designing scalable ETL pipelines (batch and streaming).
• Experience with streaming technologies such as Apache Kafka or Apache Flink.
• Strong SQL, data warehousing, and data modelling for BI, ML, 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.

Responsibilities

• Own scalable ETL pipelines across batch and real-time workflows.
• 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, ML, and BI 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.

Skills

ETL pipeline design

Streaming data processing

SQL and data warehousing

Data modeling

Analytical problem-solving

Communication and collaboration

AI awareness

Education

Bachelor's degree or higher in Computer Science / Information Systems / Mathematics

Tools

Databricks

Airflow

Google Cloud Platform

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 five 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.

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.