# Staff Data Engineer, Data and AI, Customer Data Platform

**Company**: Airwallex
**Location**: Singapore
**Work arrangement**: onsite
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://jobs.ashbyhq.com/airwallex/e77c835b-90e8-4d77-9a44-38d2f6d929fd?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_83988267-835

## Description

You'll build the data foundations that power Airwallex's Customer Data Platform, helping teams turn customer information into trusted, reusable data for analytics, machine learning, operational decision-making, and practical AI applications.

Responsibilities:

- Own scalable ETL pipelines across batch and real-time workflows, using technologies such as Databricks, DBT, and Spark

- Build reliable data foundations across data warehouses, data consumption platforms, and modern cloud data infrastructure

- Develop data models and data products that support operational needs, agentic workflows, machine learning, and business intelligence including star, snowflake, normalised, and denormalised designs

- Apply data engineering and AI best practices to solve practical problems in creative and scalable ways

- Partner with globally distributed teams to deliver complex technical work with strong problem-solving, attention to detail, communication, and collaboration

Requirements:

- A bachelor’s degree or higher in Computer Science, Information Systems, Mathematics, or a related field

- At least seven years of experience designing and implementing scalable ETL pipelines, including batch and streaming workflows

- Experience with streaming technologies such as Apache Kafka or Apache Flink

- Strong proficiency in SQL, database management systems, data warehousing, and data modelling for business intelligence, machine learning, and operational needs

- Solid understanding of data schemas, including star, snowflake, normalised, and denormalised designs

- Excellent analytical and problem-solving abilities, attention to detail, and effective communication and collaboration skills

- An understanding of AI and an interest in applying data engineering and AI in practical and creative ways

Preferred qualifications:

- Familiarity with Google Cloud Platform and modern data infrastructure tools, including Databricks and Airflow

- Experience working with globally distributed teams

## Skills

### Required
- ETL pipelines
- Databricks
- DBT
- Spark
- SQL
- database management systems
- data warehousing
- data modelling
- Apache Kafka
- Apache Flink

### Nice to have
- Google Cloud Platform
- Airflow

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/airwallex/e77c835b-90e8-4d77-9a44-38d2f6d929fd?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)