Senior Data Engineer, Knowledge Platform, Foundational Data

D8 LooP; Singapore; On-site; SGD 140,000 - 210,000; Full time

Job summary

Airwallex, a leading AI-native financial operating system, is seeking a Senior Data Engineer for the Knowledge Platform team. You will own end-to-end data pipelines, design scalable ETL processes, and collaborate with BI, ML, and analytics stakeholders to ensure data quality and reliability across the platform.

The role requires strong SQL, data warehousing, and familiarity with GCP, Databricks, Airflow, and DBT.

Qualifications

• Experience with ETL pipelines and real-time/batch data processing.
• Strong SQL and data modelling for BI, ML, and operational needs.
• End-to-end ownership of data projects from design to quality.
• GCP, Databricks and Airflow familiarity is required.
• Python scripting for data analysis/automation.

Responsibilities

• Design and implement scalable ETL pipelines for batch and streaming workloads.
• Ensure data quality, reliability, and governance across platforms.
• Collaborate with analytics and ML teams to support BI needs.

Skills

ETL pipelines

End-to-end ownership

SQL & data modelling

Warehousing & BI

Spark

dbt

GCP

Python

Airflow

Databricks

Data governance

Tools

Databricks

Airflow

DBT

Spark

Job description

Senior Data Engineer, Knowledge Platform, Foundational Data

Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own. We started in Melbourne in 2015 to build the infrastructure global commerce runs on.

Skills, with evidence

• Airflow / orchestration Familiarity with Google Cloud Platform and modern data infrastructure tools, including Databricks and Airflow. must have
• Strong proficiency in SQL, database management systems, data warehousing, and data modelling for business intelligence, machine learning, and operational needs. must have
• Own projects end to end, from system and pipeline design through performance, monitoring, and ongoing improvements in data quality and reliability. must have
• SQL Strong proficiency in SQL, database management systems, data warehousing, and data modelling for business intelligence, machine learning, and operational needs. must have
• Spark 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. must have
• dbt 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. must have
• GCP Familiarity with Google Cloud Platform and modern data infrastructure tools, including Databricks and Airflow. must have · not practised here
• Machine learning Strong proficiency in SQL, database management systems, data warehousing, and data modelling for business intelligence, machine learning, and operational needs. must have · not practised here
• Streaming Airwallex is the AI-native financial operating system for a real-time, intelligent economy.
• Governance & security - Knowledge of data governance practices, the six key governance pillars, and regulatory requirements in the financial industry. not practised here
• - Own projects end to end, from system and pipeline design through performance, monitoring, and ongoing improvements in data quality and reliability.
• Python - Experience with scripting languages such as Python or R for data analysis and automation.
• Warehousing - Strong proficiency in SQL, database management systems, data warehousing, and data modelling for business intelligence, machine learning, and operational needs.