Senior Data Engineer - Real-Time Data Platform & AI

Airwallex; Singapore; Presencial; SGD 120.000 - 180.000; Tempo integral

Resumo da vaga

Airwallex in Singapore is seeking a data engineer to build and scale the Customer Data Platform, enabling analytics, ML and AI-driven decision making. You will own batch and real-time ETL pipelines and collaborate with cross‑functional teams to deliver trusted data foundations.

Join a team that designs data models for BI, ML, and operational use, applying AI best practices and modern cloud tools to deliver reliable, reusable data assets in a fast-paced environment.

Qualificações

• Bachelor’s degree or higher in CS, IS, Math, or related field.
• At least five years of experience designing scalable ETL pipelines (batch and streaming).
• Experience with streaming technologies like Kafka or Flink.
• Strong SQL, data warehousing, data modelling for BI/ML/operational needs.
• Understanding of data schemas (star, snowflake, normalized, denormalized).
• Excellent analytical and problem-solving abilities, attention to detail, and communication skills.
• Understanding of AI and applying data engineering in practical and creative ways.

Responsabilidades

• Own scalable ETL pipelines across batch and real-time workflows using Databricks, DBT, and Spark.
• Build data foundations across data warehouses and data consumption platforms.
• Develop data models and data products to support ML and BI.
• Apply data engineering and AI best practices to solve practical problems.
• Partner with globally distributed teams to deliver complex technical work with strong problem-solving and collaboration.

Conhecimentos

Data engineering

ETL design

SQL proficiency

Analytical thinking

Communication

Formação

Bachelor’s degree or higher in CS/IS/Math

Ferramentas

Databricks

Spark

DBT

Kafka

Flink

Airflow

Google Cloud Platform

Descrição da vaga

Airwallex in Singapore is seeking a data engineer to build and scale the Customer Data Platform, enabling analytics, ML and AI-driven decision making. You will own batch and real-time ETL pipelines and collaborate with cross‑functional teams to deliver trusted data foundations.

Join a team that designs data models for BI, ML, and operational use, applying AI best practices and modern cloud tools to deliver reliable, reusable data assets in a fast-paced environment.