Senior Data Engineer (Fintech)

Location: Singapore; office-based five days a week

Company

Airwallex is an AI-native financial operating system and regulated global payments infrastructure company serving businesses and financial product builders.

What you will do

• Design and build scalable batch and real-time data pipelines and data models for Knowledge Platform teams and business domains.
• Translate ambiguous data needs into reliable solutions with engineering and cross-functional stakeholders.
• Own projects end to end, including system and pipeline design, performance, monitoring, data quality, and reliability improvements.
• Build knowledge infrastructure using Databricks, ClickHouse, Spark, Kafka, real-time analytics, knowledge retrieval, indexing, model infrastructure, agent capabilities, and AI interaction history.
• Develop evaluation, annotation, feedback, governance, permission, and freshness frameworks for reliable AI operations at global financial scale.
• Contribute senior-level technical judgment, practical problem-solving, and high standards of execution and ownership.

Requirements

• 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 star, snowflake, normalized, and denormalized data schema 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 interest in applying data engineering and AI in practical and creative ways.

Nice to have

• Experience with distributed or multi-datacenter data systems, including data migration, duplication, and consistency challenges.
• Experience in financial services, payments, or fintech.
• Experience with Python or R for data analysis and automation.
• Certification in data management or related technologies.

Culture & Benefits

• Work from the Singapore office five days per week.
• Collaborate with globally distributed teams across a company operating through more than 27 offices.
• Work on data and AI infrastructure supporting real-time financial operations and decision-making.
• Operate in a builder-oriented environment emphasizing curiosity, sound judgment, first-principles thinking, and ownership.