7 Database Developer jobs in Singapore

Database Developer

Singapore, Singapore GOLDTECH RESOURCES PTE LTD

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Job Description

Roles & Responsibilities

About the Role:

We are looking for a skilled Database Developer with hands-on experience in Oracle and MS SQL to join our IT team. The ideal candidate will design, develop, and maintain database solutions, optimize performance and ensure data integrity across systems. This role requires strong problem-solving skills and the ability to collaborate with business and IT teams to deliver robust data solutions.

Key Responsibilities:

  • Design, develop, and maintain database objects including tables, views, stored procedures, triggers and functions in Oracle and MS SQL.
  • Optimize database performance through query tuning, indexing and monitoring.
  • Ensure data integrity, security, and backup/recovery procedures are implemented and maintained.
  • Collaborate with developers, analysts, and business users to translate requirements into database solutions.
  • Perform database troubleshooting, issue resolution and support for production systems.
  • Assist in database migrations, upgrades and deployment activities.
  • Create and maintain technical documentation for database designs, scripts and processes.

Qualifications:

  • Bachelor's degree in Computer Science, Information Systems or related field.
  • 3–5 years of experience as a Database Developer or similar role.
  • Hands-on experience with Oracle PL/SQL and MS SQL Server (T-SQL).
  • Strong understanding of database design, normalization and relational modeling.
  • Experience with performance tuning, query optimization and indexing.
  • Knowledge of backup/recovery, security, and database monitoring tools.
  • Strong analytical, problem-solving and communication skills.

Preferred:

  • Experience with ETL processes, SSIS or data integration tools.
  • Familiarity with reporting/BI tools like Power BI, Tableau or SSRS.
  • Exposure to cloud database platforms (Azure SQL, Oracle Cloud) is a plus.

Please send your detailed resume in MS Word format to with

  • Education Level
  • Working experiences
  • Each employment background
  • Reason for leaving each employment
  • Last drawn salary
  • Expected salary
  • Date of availability
Tell employers what skills you have

Tableau
Technical Documentation
Troubleshooting
Oracle
Modeling
ETL
Data Integration
Tuning
SQL
SQL Server
Communication Skills
Performance Tuning
Database Design
SSIS
Power BI
SSRS
This advertiser has chosen not to accept applicants from your region.

Senior Data Engineer (Modeling, ETL)

068877 $20000 Monthly AIRWALLEX (SINGAPORE) PTE. LTD.

Posted 4 days ago

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Job Description

Data Engineering (ETL & Modeling) Hiring Location: Singapore and Shanghai

Airwallex (airwallex.com) is a rapidly growing fintech unicorn, founded in 2015 and now flourishing at the Series E financing stage. With a global footprint across Asia-Pacific, Europe, North America, and APAC, we specialize in providing diverse financial payment solutions for B2B merchants, empowering businesses to operate seamlessly anywhere, anytime.


Who We Are? About the Team:

As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech.

What you’ll do

Part 1. Data Modeling

  • Design and implement robust and scalable data models that support business intelligence, machine learning, and operational needs.
  • Possess a deep understanding of data schemas and be able to select appropriate schema designs (e.g., star schema, snowflake, normalized vs denormalized) based on use cases.
  • Collaborate closely with business teams to translate their data needs into clean, structured, and well-documented models.
  • Understand and promote the concept of SSOT (Single Source of Truth) throughout the data layers and pipelines.
  • Maintain data consistency, traceability, and quality across multiple data sources and domains.

Part 2. ETL and Data Pipeline Management

  • Experience building and maintaining both batch and streaming ETL pipelines, with a strong understanding of end-to-end data workflow — from data ingestion to transformation and delivery.
  • Able to work closely with Data Platform Engineers (DPEs) and Product Managers (PMs) to quickly identify root causes of data issues and provide efficient, scalable solutions.
  • Bonus if you’ve worked with data across distributed or multi-datacenter systems, including solving challenges related to data migration, duplication, and consistency.

Part 3. Data Governance

  • Participate in and contribute to data governance strategies, policies, and standards.
  • Be familiar with any of the six key pillars of traditional data governance (e.g., data quality, data stewardship, metadata management, master data management, data privacy/security, data lifecycle).

Part 4. Data + AI

  • We hope you have a basic understanding of AI and enjoy thinking about how data engineering and AI can work together in practical and creative ways.


These four areas are the main focuses of the DE team. Ideally, you should be strong in at least one of them — especially data modeling or data ETL. If you also have experience or skills in the other areas, that would be a big plus.


Who you are

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum qualifications:
  • Bachelor’s degree in Computer Science, Information Systems, Finance, Maths or a related field. A master's degree is a plus.
  • Proven experience (~5 years) in designing and implementing ETL processes using tools such as Informatica, Talend, Apache NiFi, or similar. If you have less than five years of work experience but have done very well in similar roles, we’re happy to consider you for a Mid-Level position (Data Engineer II). Just keep in mind that this role requires at least two years of work experience.
  • Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions.
  • Familiarity with Google Cloud Platform (GCP), specifically BigQuery and Airflow.
  • Excellent problem-solving skills, with a keen attention to detail and a commitment to producing high-quality work.
  • Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.
  • Outstanding verbal communication skills for effective interaction with overseas teams.


Preferred qualifications:
  • Experience with financial industries, payment systems, or fintech platforms.
  • Knowledge of data governance practices and regulatory requirements in the financial industry.
  • Experience with scripting languages (e.g., Python, R) for data analysis and automation.
  • Certification in data management or related technologies is a plus.


At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative.


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. 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 concerning the 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.

This advertiser has chosen not to accept applicants from your region.

Senior Data Scientist - Predictive Modeling

Singapore, Singapore beBeemachinelearning

Posted today

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Job Description

Machine Learning Expert

We are seeking a seasoned Machine Learning Engineer to spearhead the development of cutting-edge AI solutions. The ideal candidate will have a strong background in data science and machine learning, with a proven track record of designing and implementing scalable models.

About the Role

The successful candidate will be responsible for leading end-to-end ML projects, from data wrangling to deployment. They will also be expected to collaborate closely with cross-functional teams to drive innovation and growth.

Key Responsibilities
  • Design and develop predictive models using Python (pandas, scikit-learn, TensorFlow/PyTorch)
  • Collaborate with data scientists to collect and preprocess data
  • Implement MLOps tools: MLflow, TFX, Airflow, Kubeflow
  • Develop and deploy models on cloud platforms (GCP, AWS, Azure)
  • Stay up-to-date with emerging trends and technologies in machine learning
Requirements
  • Masters degree in AI/ML or related field
  • 6+ years experience in data science and machine learning
  • Strong programming skills in Python
  • Experience with NoSQL databases and Graph database
  • Familiarity with CI/CD pipelines and containerization (Docker, Kubernetes)
What We Offer
  • A dynamic and collaborative work environment
  • Opportunities for professional growth and development
  • A competitive salary and benefits package
  • A chance to work on cutting-edge AI projects
This advertiser has chosen not to accept applicants from your region.

Senior Data Engineer (ETL, Modeling)

Singapore, Singapore Airwallex Pty Ltd.

Posted today

Job Viewed

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Job Description

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 1,800 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.
Attributes We Value
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You're humble and collaborative; turn zero‐to‐one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‐visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.
Senior Data Engineer (ETL & Modeling)
Hiring Location: Singapore and Shanghai
Airwallex is a rapidly growing fintech unicorn, founded in 2015 and now flourishing at the Series E financing stage. With a global footprint across Asia-Pacific, Europe, North America, and APAC, we specialize in providing diverse financial payment solutions for B2B merchants, empowering businesses to operate seamlessly anywhere, anytime.
Who We Are? About the Team:
As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech.
What you’ll do
Part 1. Data Modeling
Design and implement robust and scalable data models that support business intelligence, machine learning, and operational needs.
Possess a deep understanding of data schemas and be able to select appropriate schema designs (e.g., star schema, snowflake, normalized vs denormalized) based on use cases.
Collaborate closely with business teams to translate their data needs into clean, structured, and well-documented models.
Understand and promote the concept of SSOT (Single Source of Truth) throughout the data layers and pipelines.
Maintain data consistency, traceability, and quality across multiple data sources and domains.
Part 2. ETL and Data Pipeline Management
Experience building and maintaining both batch and streaming ETL pipelines, with a strong understanding of end-to-end data workflow — from data ingestion to transformation and delivery.
Able to work closely with Data Platform Engineers (DPEs) and Product Managers (PMs) to quickly identify root causes of data issues and provide efficient, scalable solutions.
Bonus if you’ve worked with data across distributed or multi-datacenter systems, including solving challenges related to data migration, duplication, and consistency.
Part 3. Data Governance
Participate in and contribute to data governance strategies, policies, and standards.
Be familiar with any of the six key pillars of traditional data governance (e.g., data quality, data stewardship, metadata management, master data management, data privacy/security, data lifecycle).
Part 4. Data + AI
We hope you have a basic understanding of AI and enjoy thinking about how data engineering and AI can work together in practical and creative ways.
These four areas are the main focuses of the DE team. Ideally, you should be strong in at least one of them — especially data modeling or data ETL. If you also have experience or skills in the other areas, that would be a big plus.
Who you are
We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
Minimum qualifications:
Bachelor’s degree in Computer Science, Information Systems, Finance, Maths or a related field. A master's degree is a plus.
Proven experience (~5 years) in designing and implementing ETL processes using tools such as Informatica, Talend, Apache NiFi, or similar. If you have less than five years of work experience but have done very well in similar roles, we’re happy to consider you for a Mid-Level position (Data Engineer II). Just keep in mind that this role requires at least two years of work experience.
Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions.
Familiarity with Google Cloud Platform (GCP), specifically BigQuery and Airflow.
Excellent problem-solving skills, with a keen attention to detail and a commitment to producing high-quality work.
Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.
Outstanding verbal communication skills for effective interaction with overseas teams.
Preferred qualifications:
Experience with financial industries, payment systems, or fintech platforms.
Knowledge of data governance practices and regulatory requirements in the financial industry.
Experience with scripting languages (e.g., Python, R) for data analysis and automation.
Certification in data management or related technologies is a plus.
At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative.
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. If you are approached by someone claiming to represent Airwallex, please verify with our team.
#J-18808-Ljbffr

This advertiser has chosen not to accept applicants from your region.

Data Engineer II (Modeling, ETL)

Singapore, Singapore Airwallex Pty Ltd.

Posted today

Job Viewed

Tap Again To Close

Job Description

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 1,800 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.
Attributes We Value
We hire successful builders with founder–like energy who want real impact, accelerated learning, and true ownership. You bring strong role‐related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You're humble and collaborative; turn zero‐to‐one ideas into real products, and you “get stuff done” end‐to‐end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‐visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.
Data Engineer II (Modeling, ETL)
Hiring Location: Singapore and Shanghai
Airwallex (airwallex.com) is a rapidly growing fintech unicorn, founded in 2015 and now flourishing at the Series E financing stage. With a global footprint across Asia-Pacific, Europe, North America, and APAC, we specialize in providing diverse financial payment solutions for B2B merchants, empowering businesses to operate seamlessly anywhere, anytime.
Who We Are? About the Team:
As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross‐functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech.
What you’ll do
Part 1. Data Modeling
Design and implement robust and scalable data models that support business intelligence, machine learning, and operational needs.
Possess a deep understanding of data schemas and be able to select appropriate schema designs (e.g., star schema, snowflake, normalized vs denormalized) based on use cases.
Collaborate closely with business teams to translate their data needs into clean, structured, and well‐documented models.
Understand and promote the concept of SSOT (Single Source of Truth) throughout the data layers and pipelines.
Maintain data consistency, traceability, and quality across multiple data sources and domains.
Part 2. ETL and Data Pipeline Management
Experience building and maintaining both batch and streaming ETL pipelines, with a strong understanding of end‐to‐end data workflow — from data ingestion to transformation and delivery.
Able to work closely with Data Platform Engineers (DPEs) and Product Managers (PMs) to quickly identify root causes of data issues and provide efficient, scalable solutions.
Bonus if you’ve worked with data across distributed or multi‐datacenter systems, including solving challenges related to data migration, duplication, and consistency.
Part 3. Data Governance
Participate in and contribute to data governance strategies, policies, and standards.
Be familiar with any of the six key pillars of traditional data governance (e.g., data quality, data stewardship, metadata management, master data management, data privacy/security, data lifecycle).
Part 4. Data + AI
We hope you have a basic understanding of AI and enjoy thinking about how data engineering and AI can work together in practical and creative ways.
These four areas are the main focuses of the DE team. Ideally, you should be strong in at least one of them – especially data modeling or data ETL. If you also have experience or skills in the other areas, that would be a big plus.
Who you are
We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
Minimum qualifications:
Bachelor’s degree in Computer Science, Information Systems, Finance, Maths or a related field. A master's degree is a plus.
At least 2 years of data engineering related experience.
Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions.
Familiarity with Google Cloud Platform (GCP), specifically BigQuery and Airflow.
Excellent problem‐solving skills, with a keen attention to detail and a commitment to producing high‐quality work.
Strong communication and collaboration skills, with the ability to work effectively in a fast‐paced, team‐oriented environment.
Outstanding verbal communication skills for effective interaction with overseas teams.
Preferred qualifications:
Experience with financial industries, payment systems, or fintech platforms.
Knowledge of data governance practices and regulatory requirements in the financial industry.
Experience with scripting languages (e.g., Python, R) for data analysis and automation.
Certification in data management or related technologies is a plus.
At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team‐building events and we give our people the freedom to be creative.
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. If you are approached by someone claiming to represent Airwallex, please verify with our team.
#J-18808-Ljbffr

This advertiser has chosen not to accept applicants from your region.

Data Engineer II (ETL, Modeling)

Singapore, Singapore Airwallex

Posted today

Job Viewed

Tap Again To Close

Job Description

Data Engineer II (Modeling, ETL)
Hiring Location: Singapore and Shanghai
Airwallex (airwallex.com) is a rapidly growing fintech unicorn, founded in 2015 and now flourishing at the Series E financing stage. With a global footprint across Asia-Pacific, Europe, North America, and APAC, we specialize in providing diverse financial payment solutions for B2B merchants, empowering businesses to operate seamlessly anywhere, anytime.
Who We Are? About the Team:
As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech.
What you’ll do
Part 1. Data Modeling
Design and implement robust and scalable data models that support business intelligence, machine learning, and operational needs.
Possess a deep understanding of data schemas and be able to select appropriate schema designs (e.g., star schema, snowflake, normalized vs denormalized) based on use cases.
Collaborate closely with business teams to translate their data needs into clean, structured, and well-documented models.
Understand and promote the concept of SSOT (Single Source of Truth) throughout the data layers and pipelines.
Maintain data consistency, traceability, and quality across multiple data sources and domains.
Part 2. ETL and Data Pipeline Management
Experience building and maintaining both batch and streaming ETL pipelines, with a strong understanding of end-to-end data workflow — from data ingestion to transformation and delivery.
Able to work closely with Data Platform Engineers (DPEs) and Product Managers (PMs) to quickly identify root causes of data issues and provide efficient, scalable solutions.
Bonus if you’ve worked with data across distributed or multi-datacenter systems, including solving challenges related to data migration, duplication, and consistency.
Part 3. Data Governance
Participate in and contribute to data governance strategies, policies, and standards.
Be familiar with any of the six key pillars of traditional data governance (e.g., data quality, data stewardship, metadata management, master data management, data privacy/security, data lifecycle).
Part 4. Data + AI
We hope you have a basic understanding of AI and enjoy thinking about how data engineering and AI can work together in practical and creative ways.
These four areas are the main focuses of the DE team. Ideally, you should be strong in at least one of them — especially data modeling or data ETL. If you also have experience or skills in the other areas, that would be a big plus.
Who you are
We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
Minimum qualifications:
Bachelor’s degree in Computer Science, Information Systems, Finance, Maths or a related field. A master's degree is a plus.
At least 2 years of data engineering related experience.
Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions.
Familiarity with Google Cloud Platform (GCP), specifically BigQuery and Airflow.
Excellent problem-solving skills, with a keen attention to detail and a commitment to producing high-quality work.
Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.
Outstanding verbal communication skills for effective interaction with overseas teams.
Preferred qualifications:
Experience with financial industries, payment systems, or fintech platforms.
Knowledge of data governance practices and regulatory requirements in the financial industry.
Experience with scripting languages (e.g., Python, R) for data analysis and automation.
Certification in data management or related technologies is a plus.
At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative.
#J-18808-Ljbffr

This advertiser has chosen not to accept applicants from your region.

Data Engineer II (ETL, Modeling)

068877 $14000 Monthly AIRWALLEX (SINGAPORE) PTE. LTD.

Posted 4 days ago

Job Viewed

Tap Again To Close

Job Description

Data Engineer II (Modeling, ETL) Hiring Location: Singapore and Shanghai

Airwallex (airwallex.com ) is a rapidly growing fintech unicorn, founded in 2015 and now flourishing at the Series E financing stage. With a global footprint across Asia-Pacific, Europe, North America, and APAC, we specialize in providing diverse financial payment solutions for B2B merchants, empowering businesses to operate seamlessly anywhere, anytime.


Who We Are? About the Team:

As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech.


What you’ll do

Part 1. Data Modeling

  • Design and implement robust and scalable data models that support business intelligence, machine learning, and operational needs.
  • Possess a deep understanding of data schemas and be able to select appropriate schema designs (e.g., star schema, snowflake, normalized vs denormalized) based on use cases.
  • Collaborate closely with business teams to translate their data needs into clean, structured, and well-documented models.
  • Understand and promote the concept of SSOT (Single Source of Truth) throughout the data layers and pipelines.
  • Maintain data consistency, traceability, and quality across multiple data sources and domains.

Part 2. ETL and Data Pipeline Management

  • Experience building and maintaining both batch and streaming ETL pipelines, with a strong understanding of end-to-end data workflow — from data ingestion to transformation and delivery.
  • Able to work closely with Data Platform Engineers (DPEs) and Product Managers (PMs) to quickly identify root causes of data issues and provide efficient, scalable solutions.
  • Bonus if you’ve worked with data across distributed or multi-datacenter systems, including solving challenges related to data migration, duplication, and consistency.

Part 3. Data Governance

  • Participate in and contribute to data governance strategies, policies, and standards.
  • Be familiar with any of the six key pillars of traditional data governance (e.g., data quality, data stewardship, metadata management, master data management, data privacy/security, data lifecycle).

Part 4. Data + AI

  • We hope you have a basic understanding of AI and enjoy thinking about how data engineering and AI can work together in practical and creative ways.

These four areas are the main focuses of the DE team. Ideally, you should be strong in at least one of them — especially data modeling or data ETL. If you also have experience or skills in the other areas, that would be a big plus.


Who you are

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.


Minimum qualifications:
  • Bachelor’s degree in Computer Science, Information Systems, Finance, Maths or a related field. A master's degree is a plus.
  • At least 2 years of data engineering related experience.
  • Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions.
  • Familiarity with Google Cloud Platform (GCP), specifically BigQuery and Airflow.
  • Excellent problem-solving skills, with a keen attention to detail and a commitment to producing high-quality work.
  • Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.
  • Outstanding verbal communication skills for effective interaction with overseas teams.


Preferred qualifications:
  • Experience with financial industries, payment systems, or fintech platforms.
  • Knowledge of data governance practices and regulatory requirements in the financial industry.
  • Experience with scripting languages (e.g., Python, R) for data analysis and automation.
  • Certification in data management or related technologies is a plus.


At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative.

This advertiser has chosen not to accept applicants from your region.
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  25. medical_services E Commerce & Social Media
  26. school Education & Teaching
  27. electrical_services Electrical Engineering
  28. bolt Energy
  29. local_mall Fmcg
  30. gavel Government & Non Profit
  31. emoji_events Graduate
  32. health_and_safety Healthcare
  33. beach_access Hospitality & Tourism
  34. groups Human Resources
  35. precision_manufacturing Industrial Engineering
  36. security Information Security
  37. handyman Installation & Maintenance
  38. policy Insurance
  39. code IT & Software
  40. gavel Legal
  41. sports_soccer Leisure & Sports
  42. inventory_2 Logistics & Warehousing
  43. supervisor_account Management
  44. supervisor_account Management Consultancy
  45. supervisor_account Manufacturing & Production
  46. campaign Marketing
  47. build Mechanical Engineering
  48. perm_media Media & PR
  49. local_hospital Medical
  50. local_hospital Military & Public Safety
  51. local_hospital Mining
  52. medical_services Nursing
  53. local_gas_station Oil & Gas
  54. biotech Pharmaceutical
  55. checklist_rtl Project Management
  56. shopping_bag Purchasing
  57. home_work Real Estate
  58. person_search Recruitment Consultancy
  59. store Retail
  60. point_of_sale Sales
  61. science Scientific Research & Development
  62. wifi Telecoms
  63. psychology Therapy
  64. pets Veterinary
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