Senior Data Engineer, Data and AI, Customer Data Platform

The role

You will build data foundations for the Customer Data Platform. This involves creating scalable ETL pipelines and data models to support analytics, machine learning, and AI applications.

What you will do

• Own scalable ETL pipelines across batch and real-time workflows using 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 for operational needs, agentic workflows, machine learning, and business intelligence
• Apply data engineering and AI best practices to solve practical problems
• Partner with globally distributed teams to deliver complex technical work

Required qualifications

• 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
• Solid understanding of data schemas, including star, snowflake, normalised, and denormalised designs
• Excellent analytical and problem-solving abilities
• Attention to detail
• Effective communication and collaboration skills
• An understanding of AI and an interest in applying data engineering and AI in practical and creative ways

Nice to have

• Familiarity with Google Cloud Platform and modern data infrastructure tools, including Databricks and Airflow
• Experience working with globally distributed teams

About the company

Airwallex is an AI-native financial operating system for a real-time, intelligent economy. It provides financial infrastructure for over 675,000 businesses globally.