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Senior Data Engineer, Data and AI, Customer Data Platform

Airwallex· Engineering
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SG - SingaporeFull-timePosted 5d ago

About the role

Senior Data Engineer responsible for building the data foundations powering Airwallex's Customer Data Platform, enabling trusted, reusable data for analytics, machine learning, operational decision-making, and 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 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

Skills

Required:ETL pipeline design and implementationStreaming technologiesSQL and data warehousingData modelling (star/snowflake/normalised/denormalised)
Last updated Oct 22, 2026. Interested? Apply on the company site.
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