Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
SG - Singapore · Singapore
Live, first seen by us 1 day agoLocation type: On-siteFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: Engineering › Data ScienceFrom the employer’s posting
Own scalable batch and real-time ETL pipelines using Databricks, DBT and Spark
Build reliable data foundations across warehouses, consumption platforms and cloud infrastructure
Develop data models and data products for operations, ML, agentic workflows and BI
Apply data engineering and AI best practices to practical problems
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
Apply data engineering and AI best practices to solve practical problems in creative and scalable ways
Essentials - 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
Airwallex is the AI-native financial operating system for a real-time, intelligent economy.
In the employer’s words · Read in context · Company website ↗
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 1
Early. Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
24 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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
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. - 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
Preferred - Familiarity with Google Cloud Platform and modern data infrastructure tools, including Databricks and Airflow - Experience working with globally distributed teams
- 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
- 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
- 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
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed one other Staff Data Engineer, Data and AI, Customer Data Platform job there since October 2026. It came down after 15 days.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.
We're co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full.
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.
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
This is an in-office role — you'll be in our Singapore office five days a week.
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
Familiarity with Google Cloud Platform and modern data infrastructure tools, including Databricks and Airflow
Experience working with globally distributed teams
The Customer Data Platform team is building Airwallex’s trusted customer-data foundation—unifying customer entities, signals and metrics so that teams, products and AI systems can make better decisions and take action.
To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.
Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Singapore
Working pattern and location restrictions need checking in the full posting.
Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.