Staff Data Engineer - On-site Singapore Data Platform

Airwallex; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Airwallex in Singapore is seeking a Senior Data Platform Engineer to design and operate scalable ETL pipelines powering the Customer Data Platform. You will enable analytics, machine learning, and business intelligence with reliable data foundations.

Work includes building pipelines across batch and real-time flows using Databricks, DBT, Spark, and SQL, shaping data models (star/snowflake) and partnering with distributed teams to deliver complex technical solutions.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, or related field.
• At least seven years designing scalable ETL pipelines (batch and streaming).
• Experience with Kafka or Flink streaming platforms.
• Strong SQL, data warehousing, and data modelling for BI/ML.
• Knowledge of data schemas: star, snowflake, normalized/denormalized.
• Excellent analytical, problem-solving, and communication skills.
• Understanding of AI and applying it to data engineering.

Responsibilities

• Own scalable ETL pipelines across batch and real-time workflows.
• Build data foundations across warehouses and data platforms.
• Develop data models and data products for analytics and AI.
• Apply data engineering and AI best practices.
• Partner with globally distributed teams to deliver complex technical work.

Skills

ETL pipelines

SQL proficiency

Data modeling

Streaming tech

Apache Kafka

Apache Flink

Data warehousing

Communication

AI understanding

Education

Bachelors in CS/IS

Tools

Databricks

Airflow

DBT

Spark

Job description

Airwallex in Singapore is seeking a Senior Data Platform Engineer to design and operate scalable ETL pipelines powering the Customer Data Platform. You will enable analytics, machine learning, and business intelligence with reliable data foundations.

Work includes building pipelines across batch and real-time flows using Databricks, DBT, Spark, and SQL, shaping data models (star/snowflake) and partnering with distributed teams to deliver complex technical solutions.