Senior Data Engineer, Knowledge Platform

About the role

Airwallex's Knowledge Platform builds the data foundations supporting business and AI use cases across the company. As a Senior Data Engineer you will own reliable, scalable data solutions end to end, raising the bar for technical design and execution. The role is based in the Singapore office, five days a week.

Key responsibilities

• Design and build scalable data pipelines and data models powering use cases across Knowledge Platform teams and business domains.
• Partner with engineering and cross-functional stakeholders to turn ambiguous data needs into well-structured solutions.
• Own projects end to end, from design through performance, monitoring and ongoing improvements in data quality and reliability.
• Act as a senior member of the team, bringing strong engineering judgment, practical problem-solving and a high standard of ownership.

Required profile

• 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, batch and real-time, using technologies such as DBT and Spark.
• Strong SQL, database management systems, data warehousing and data modelling; familiarity with star, snowflake, normalised and denormalised schemas.
• Familiarity with Google Cloud Platform, Databricks and Airflow.
• Knowledge of data governance, its six key pillars and financial industry regulatory requirements.
• Preferred: experience with distributed or multi-datacenter systems, financial services, payments or fintech, Python or R scripting, and data management certification.