Description
About the Role
As a Senior Data Engineer on the Knowledge Platform team at Airwallex, you will be responsible for building the data foundations that support critical business and AI use cases across the organization. You will own reliable, scalable data solutions end-to-end, while helping raise the bar for technical design and execution.
Key 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.
Requirements
Essentials
- 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 modeling 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.
Preferred
- 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.
Team Overview
The Knowledge Platform sits at the foundation of Airwallex’s Data and AI strategy. We are evolving traditional data infrastructure into knowledge infrastructure,turning structured and unstructured information into trusted, reusable context that helps people and AI systems make better decisions and take action.