Airwallex - Senior Data Engineer, Knowledge Platform

• Bachelor’s degree or higher in Computer Science, Information Systems, Finance, Mathematics, or a related field. • At least five years of experience designing and implementing scalable ETL pipelines, including batch and streaming workflows and 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. • Strong understanding of data schemas, including star, snowflake, normalized, and denormalized 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. • Experience working with data across distributed or multi-datacenter systems, including data migration, duplication, and consistency challenges. • Experience working in financial services, payments, or fintech. • Experience with scripting languages such as Python or R for data analysis and automation. • Certification in data management or related technologies.