7 Database Developer jobs in Singapore

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.

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.

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.

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

• 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.

• 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.

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.

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.

• 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

• 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)

• 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

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

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

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

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.

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.

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.

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

• 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.

• 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.