Senior Data Platform Engineer

Responsibilities

• Lead system design and drive impactful projects within the Growth Team to support acquisition, retention, and revenue optimization.
• Design, build, and maintain scalable, reliable batch and stream data pipelines for internal analytics and operational use cases.
• Build data ingestion frameworks connecting internal systems with the centralized data platform using tools like Kafka, Flink, or Spark.
• Collaborate with senior engineers to define and maintain internal data engineering tools, standards, and practices.
• Contribute to automation and reliability improvements to reduce data latency and improve platform scalability.
• Work cross-functionally with product, engineering, and BI teams to translate business requirements into engineering solutions.

Requirements

• 5+ years of relevant experience as a data engineer.
• Bachelor’s or Master’s degree in CS, CE, CIS, or equivalent experience.
• Proficiency in Kotlin, Java, Scala, Python, or SQL.
• Strong working knowledge of real-time and batch processing systems.
• Proven experience working with data at PB scale.
• Ability to design, build, and operate distributed systems and establish data architecture.

Preferred Qualifications

• Knowledge of Kafka, Data Lake, Spark, Flink, DBT, Spring Boot, Hadoop, BigQuery, and Snowflake.

About the Company

Airwallex is a unified payments and financial platform for global businesses. Powered by proprietary infrastructure and software, we empower over 200,000 businesses worldwide—including Brex, Rippling, and Qantas—with integrated solutions to manage business accounts, payments, spend management, and treasury at a global scale.