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Senior Data Platform Engineer (Knowledge Platform & AI Enablement) Job Opening In Singapore, Singapore – Now Hiring Airwallex

Senior Data Platform Engineer (Knowledge Platform & AI Enablement)

    Singapore Jobs Expertini Expertini Singapore Jobs Other General Senior Data Platform Engineer (Knowledge Platform & Ai Enablement)

Job description

Join to apply for the
Senior Data Platform Engineer
role at
Airwallex
Join to apply for the
Senior Data Platform Engineer
role at
Airwallex
About Airwallex
Airwallex is the only unified payments and financial platform for global businesses.

Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.


About Airwallex
Airwallex is the only unified payments and financial platform for global businesses.

Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.


Proudly founded in Melbourne, we have a team of over 1,700 of the brightest and most innovative people in tech across 26 offices around the globe.

Valued at US$6.2 billion and backed by world-leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, Airwallex is leading the charge in building the global payments and financial platform of the future.

If you’re ready to do the most ambitious work of your career, join us.


Who You Are?

Role Overview:
In 2025, the Data Platform Engineering team is going to implement various data processing tasks on the newly built next-generation data platform.

We aim to further optimize data storage, processing, application, interfaces, and other dimensions.

Throughout the continuous iteration process, we will also incorporate new data components and consider new data architectures (such as Lake House) to achieve faster data scheduling, significantly reducing data latency and enabling more efficient operation of data engineering applications.


In this data engineering role, we are seeking engineers with a background in data engineering to join us in various aspects of data engineering, leveraging your past experiences in the field.


In This Role, You Will
Engage in technical decision-making, custom development, integration, and performance optimization at the foundational level, extending to the development of service layer infrastructure components, application layer, and data processing, including third-party data integration.

Your contributions will enable Airwallex to evolve into a truly data-driven organization.


Develop and automate large-scale, high-performance distributed data processing systems (batch/streaming) to drive Airwallex's business growth and enhance product experiences.


Advocate for high-quality software engineering practices to establish scalable data infrastructure and pipelines.


Contribute to defining shared data engineering tool standards to enhance the productivity and output quality of data engineers across the company.


Provide guidance to junior engineers.


You Might Be a Great Fit If You
Have 5+ years of relevant experience as a data engineer.


Hold a Bachelor's or Master's degree in CS/CE/CIS, (or equivalent experience) with knowledge of Kotlin / Java / Scala / Python / SQL.

Knowledge of Kafka, Data Lake, Spark, Flink, DBT, Spring Boot,, Hadoop, BigQuery, and Snowflake is preferred.


Ability to take ownership of designing, building, and operating distributed systems and establishing overarching data architecture.


Possess strong working knowledge of Real-time/Batch processing systems.


Have experience with working data at PB scale.


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.


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.


Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Engineering and Information Technology
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7. Obeying Singapore laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Senior Data Platform Engineer (Knowledge Platform & AI Enablement) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior Data Platform Engineer (Knowledge Platform & AI Enablement) Job Success

Airwallex interview tips for Senior Data Platform Engineer (Knowledge Platform & AI Enablement)

Here are some tips to help you prepare for and ace your Senior Data Platform Engineer (Knowledge Platform & AI Enablement) job interview:

Before the Interview:

Research: Learn about the Airwallex's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

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Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Data Platform Engineer (Knowledge Platform & AI Enablement) interview at Airwallex, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Airwallex's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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