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Senior Data Engineer, Knowledge Platform, Foundational Data

Airwallex· Engineering
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SG - SingaporeFull-timePosted 5d ago

About the role

Senior data engineer responsible for designing and building scalable data pipelines and models to support Knowledge Platform and AI use cases at Airwallex, with end-to-end ownership from design to data quality and reliability.

Responsibilities

  • Design and build scalable data pipelines and data models that power critical use cases across Knowledge Platform teams and business domains.
  • Partner closely with engineering and cross-functional stakeholders to turn ambiguous data needs into reliable, well-structured solutions that support decision-making and product development.
  • Own projects end to end, from system and pipeline design through performance, monitoring, and ongoing improvements in data quality and reliability.
  • Raise the bar on technical design and execution as a senior member of the team, bringing strong engineering judgment, practical problem-solving, and a high standard of ownership.

Qualifications

  • Bachelor’s degree or higher in Computer Science, Computer Engineering or a related field.
  • At least five years of experience designing and implementing scalable ETL pipelines, across batch and real-time workflows, using technologies such as DBT and Spark
  • Strong proficiency in SQL, database management systems, data warehousing, and data modelling for business intelligence, machine learning, and operational needs.
  • Strong understanding of data schemas, including star, snowflake, normalised, and denormalised designs.
  • Familiarity with Google Cloud Platform and modern data infrastructure tools, including Databricks and Airflow.
  • Knowledge of data governance practices, the six key governance pillars, and regulatory requirements in the financial industry.
  • Strong problem-solving, attention to detail, communication, and collaboration skills, including experience working with globally distributed teams.
  • Understanding of AI and an interest in applying data engineering and AI in practical and creative ways.

Skills

Required:ETL pipeline design and implementationSQLData modellingGoogle Cloud Platform, Databricks, AirflowData governanceAI awareness

Benefits

  • Not specified in the description.
Last updated Oct 22, 2026. Interested? Apply on the company site.
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