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Staff Data Engineer, Data and AI, Customer Data Platform

Airwallex· Engineering
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SG - SingaporeFull-timePosted 5d ago

About the role

Data Engineer focused on building the data foundations for Airwallex's Customer Data Platform, enabling trusted, reusable data for analytics, machine learning, operational decisions, and practical AI applications.

Responsibilities

  • 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

Qualifications

  • 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

Skills

Required:ETL design and implementationSQL and data warehousingData modelling (star, snowflake, normalised, denormalised)Streaming technologiesCommunication and collaboration
Last updated Oct 22, 2026. Interested? Apply on the company site.
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