Senior Data Engineer, Data and AI, Customer Data Platform
Core
Build scalable ETL pipelines and data foundations for Airwallex's Customer Data Platform to support analytics, machine learning, and AI applications.
Role type
Senior Data Engineer (Customer Data Platform)
Builds
Scalable batch and real-time data pipelines, data models, and data products for the Customer Data Platform
Domain
Financial technology / Data Engineering
Deliverable
production ML models
Required skills
Scalable ETL pipeline design, Apache Kafka, Apache Flink, SQL, Data warehousing, Data modelling, Star/Snowflake schemas, AI best practices
Preferred skills
Google Cloud Platform, Databricks, Airflow, Global team collaboration
Technologies
Databricks, DBT, Spark, Apache Kafka, Apache Flink, SQL, Google Cloud Platform, Airflow
Responsibilities
Own scalable ETL pipelines across batch and real-time workflows; Build reliable data foundations across data warehouses and cloud infrastructure; Develop data models and data products supporting operational needs and AI; Apply data engineering and AI best practices to solve practical problems
Seniority
Senior, hands-on IC
