Data Platform Engineer II (Knowledge Platform & AI Enablement) Careers at Airwallex - Singapore, Singapore | Apply Now!
Airwallex
Data Platform Engineer II (Knowledge Platform & AI Enablement) Careers at Airwallex - Singapore, Singapore | Apply Now!
Job Description
Role Overview
The Data Platform Engineer II (Knowledge Platform & AI Enablement) plays a crucial role in building and maintaining the next-generation data platform at Airwallex. This position focuses on optimizing data storage, processing, and application to drive internal analytics and operational efficiency. You will be involved in designing and implementing scalable data pipelines, incorporating new data components, and exploring advanced data architectures such as Lake House. This role requires a strong background in data engineering, proficiency in various programming languages, and the ability to collaborate effectively with cross-functional teams.
A Day in the Life
On a typical day, you might:
- Design and implement data pipelines for batch and stream processing using tools like Kafka, Flink, or Spark.
- Collaborate with senior engineers to define and maintain data engineering standards and best practices.
- Work with product and BI teams to translate business requirements into technical solutions.
- Investigate and resolve data quality and consistency issues.
- Participate in code reviews and contribute to the team's knowledge base.
- Research and evaluate new data technologies and architectures.
- Automate data processes to improve efficiency and scalability.
- Monitor data pipeline performance and troubleshoot issues.
- Attend team meetings to discuss project progress and challenges.
- Contribute to the development of internal data engineering tools.
Why Singapore/Shanghai?
Singapore and Shanghai are both vibrant hubs for technology and innovation, offering a unique blend of professional opportunities and cultural experiences. Singapore is renowned for its strong economy, advanced infrastructure, and strategic location in Southeast Asia. Shanghai is a global financial center with a thriving tech scene and a rich cultural heritage. Working in either location provides exposure to diverse perspectives and access to a talented pool of professionals.
Career Path
As a Data Platform Engineer II at Airwallex, you can advance your career in several directions. You might progress to a Senior Data Platform Engineer role, taking on more complex projects and mentoring junior engineers. Alternatively, you could specialize in a specific area of data engineering, such as data architecture or AI enablement. There are also opportunities to move into leadership positions, such as a Data Engineering Manager, overseeing a team of engineers and driving the overall data strategy.
Salary & Benefits
Airwallex offers a competitive salary and benefits package to attract and retain top talent. The salary range for a Data Platform Engineer II in Singapore/Shanghai typically falls between $80,000 and $150,000 USD per year, depending on experience and qualifications. In addition to salary, Airwallex provides comprehensive health insurance, paid time off, employee stock options, professional development opportunities, and other perks to support your well-being and career growth.
Airwallex Culture
Airwallex is a fast-paced, innovative company with a strong emphasis on collaboration and continuous learning. We value individuals who are proactive, results-oriented, and passionate about building the future of global finance. Our culture is built on the following principles:
- Customer Obsession: We put our customers first and strive to exceed their expectations.
- Innovation: We embrace new ideas and challenge the status quo.
- Collaboration: We work together as a team to achieve our goals.
- Ownership: We take responsibility for our actions and outcomes.
- Learning: We continuously seek opportunities to learn and grow.
How to Apply
If you are interested in joining the Airwallex team as a Data Platform Engineer II (Knowledge Platform & AI Enablement), please submit your application online through our careers page. Be sure to highlight your relevant experience, skills, and qualifications in your resume and cover letter. We look forward to hearing from you!
Frequently Asked Questions
- What are the key responsibilities of a Data Platform Engineer II at Airwallex?
The key responsibilities include designing and implementing data pipelines, optimizing data storage and processing, and collaborating with cross-functional teams to translate business requirements into technical solutions.
- What skills and qualifications are required for this role?
The required skills and qualifications include 3+ years of experience as a data engineer, proficiency in Kotlin, Java, Scala, Python, and SQL, and experience with data ingestion frameworks and tools like Kafka, Flink, or Spark.
- What is the salary range for this position?
The salary range for a Data Platform Engineer II in Singapore/Shanghai typically falls between $80,000 and $150,000 USD per year, depending on experience and qualifications.
- What benefits does Airwallex offer to its employees?
Airwallex offers comprehensive health insurance, paid time off, employee stock options, professional development opportunities, and other perks to support your well-being and career growth.
- What is the work environment like at Airwallex?
Airwallex is a fast-paced, innovative company with a strong emphasis on collaboration and continuous learning.
- What is the career path for a Data Platform Engineer II at Airwallex?
As a Data Platform Engineer II, you can advance your career to a Senior Data Platform Engineer role, specialize in a specific area of data engineering, or move into leadership positions, such as a Data Engineering Manager.
- How does Airwallex support employee growth and development?
Airwallex provides professional development opportunities, including training courses and conferences, to help employees grow their skills and advance their careers.
- What is Airwallex's approach to diversity and inclusion?
Airwallex is committed to creating a diverse and inclusive workplace where everyone feels valued and respected.
- What is the application process for this role?
To apply for this role, please submit your application online through our careers page, highlighting your relevant experience, skills, and qualifications in your resume and cover letter.
- What opportunities are there to work on cutting-edge technologies at Airwallex?
Airwallex provides opportunities to work on cutting-edge technologies and innovative projects, such as AI enablement and the development of the next-generation data platform.
Locations
- Singapore, Singapore, Singapore
- Shanghai, Shanghai, China
Salary
88,000 - 165,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data Engineeringintermediate
- Data Pipelinesintermediate
- Batch Processingintermediate
- Stream Processingintermediate
- Kafkaintermediate
- Flinkintermediate
- Sparkintermediate
- Data Ingestionintermediate
- Data Architectureintermediate
- Lake House Architectureintermediate
- Data Schedulingintermediate
- Data Latency Reductionintermediate
- Data Qualityintermediate
- Data Consistencyintermediate
- SQLintermediate
- Kotlinintermediate
- Javaintermediate
- Scalaintermediate
- Pythonintermediate
- Cloud Computing (AWS, GCP, Azure)intermediate
- Data Warehousingintermediate
- ETLintermediate
- Data Modelingintermediate
- Big Data Technologiesintermediate
- Database Managementintermediate
- AI Enablementintermediate
- Knowledge Platform Developmentintermediate
Required Qualifications
- 3+ years of relevant experience as a data engineer. (experience)
- Bachelor's or Master's degree in CS/CE/CIS, or equivalent experience. (experience)
- Proficiency in Kotlin, Java, Scala, Python, and SQL. (experience)
- Experience designing, building, and maintaining scalable and reliable batch and stream data pipelines. (experience)
- Experience with data ingestion frameworks and tools like Kafka, Flink, or Spark. (experience)
- Understanding of data architecture concepts and experience with Lake House architectures. (experience)
- Ability to optimize data storage, processing, and application. (experience)
- Experience with data scheduling and reducing data latency. (experience)
- Knowledge of data quality and consistency concerns. (experience)
- Experience with integration of external (third-party) data sources. (experience)
- Strong collaboration skills to work with product, engineering, and BI teams. (experience)
- Ability to translate business requirements into engineering solutions. (experience)
- Experience with cloud-based data platforms (e.g., AWS, GCP, Azure). (experience)
- Familiarity with data warehousing concepts and ETL processes. (experience)
- Solid understanding of data modeling principles. (experience)
- Experience with big data technologies. (experience)
Responsibilities
- Design, build, and maintain scalable and reliable batch and stream data pipelines for internal analytics and operational use cases.
- Participate in building data ingestion frameworks connecting internal systems with the centralized data platform using tools like Kafka, Flink, or Spark.
- Collaborate with senior engineers to define and maintain internal data engineering tools, standards, and practices.
- Contribute to automation and reliability improvements that reduce data latency and improve platform scalability.
- Assist with integration of external (third-party) data sources and handle data quality and consistency concerns.
- Work cross-functionally with product, engineering, and BI teams to translate business requirements into engineering solutions.
- Optimize data storage, processing, and application on the next-generation data platform.
- Incorporate new data components and consider new data architectures (such as Lake House).
- Achieve faster data scheduling and significantly reduce data latency.
- Enable more efficient operation of data engineering applications.
- Leverage past experiences in data engineering to contribute to various aspects of data engineering.
- Ensure data quality and consistency across all pipelines and data sources.
- Develop and implement data monitoring and alerting systems.
- Participate in code reviews and contribute to a culture of high-quality code.
Benefits
- general: Competitive salary and performance-based bonuses.
- general: Comprehensive health insurance coverage (medical, dental, vision).
- general: Generous paid time off policy, including vacation, sick leave, and holidays.
- general: Employee stock options, allowing you to share in the company's success.
- general: Professional development opportunities, including training courses and conferences.
- general: Employee assistance program (EAP) for confidential counseling and support.
- general: Wellness programs and resources to promote physical and mental well-being.
- general: Company-sponsored events and activities to foster team building and camaraderie.
- general: Flexible work arrangements to support work-life balance.
- general: Commuter benefits or transportation assistance.
- general: Retirement savings plan with company matching contributions.
- general: Paid parental leave for new parents.
- general: Life insurance and disability coverage.
- general: Employee referral program with bonus opportunities.
- general: Modern and collaborative office environment.
- general: Opportunities to work on cutting-edge technologies and innovative projects.
- general: Global mobility opportunities for career growth and international exposure.
- general: Access to a diverse and inclusive workplace culture.
- general: Free snacks, drinks, and catered lunches.
Tags & Categories
Answer 10 quick questions to check your fit for Data Platform Engineer II (Knowledge Platform & AI Enablement) Careers at Airwallex - Singapore, Singapore | Apply Now! @ Airwallex.
Related Books and Jobs
Data Platform Engineer II (Knowledge Platform & AI Enablement) Careers at Airwallex - Singapore, Singapore | Apply Now!
Airwallex
Data Platform Engineer II (Knowledge Platform & AI Enablement) Careers at Airwallex - Singapore, Singapore | Apply Now!
Job Description
Role Overview
The Data Platform Engineer II (Knowledge Platform & AI Enablement) plays a crucial role in building and maintaining the next-generation data platform at Airwallex. This position focuses on optimizing data storage, processing, and application to drive internal analytics and operational efficiency. You will be involved in designing and implementing scalable data pipelines, incorporating new data components, and exploring advanced data architectures such as Lake House. This role requires a strong background in data engineering, proficiency in various programming languages, and the ability to collaborate effectively with cross-functional teams.
A Day in the Life
On a typical day, you might:
- Design and implement data pipelines for batch and stream processing using tools like Kafka, Flink, or Spark.
- Collaborate with senior engineers to define and maintain data engineering standards and best practices.
- Work with product and BI teams to translate business requirements into technical solutions.
- Investigate and resolve data quality and consistency issues.
- Participate in code reviews and contribute to the team's knowledge base.
- Research and evaluate new data technologies and architectures.
- Automate data processes to improve efficiency and scalability.
- Monitor data pipeline performance and troubleshoot issues.
- Attend team meetings to discuss project progress and challenges.
- Contribute to the development of internal data engineering tools.
Why Singapore/Shanghai?
Singapore and Shanghai are both vibrant hubs for technology and innovation, offering a unique blend of professional opportunities and cultural experiences. Singapore is renowned for its strong economy, advanced infrastructure, and strategic location in Southeast Asia. Shanghai is a global financial center with a thriving tech scene and a rich cultural heritage. Working in either location provides exposure to diverse perspectives and access to a talented pool of professionals.
Career Path
As a Data Platform Engineer II at Airwallex, you can advance your career in several directions. You might progress to a Senior Data Platform Engineer role, taking on more complex projects and mentoring junior engineers. Alternatively, you could specialize in a specific area of data engineering, such as data architecture or AI enablement. There are also opportunities to move into leadership positions, such as a Data Engineering Manager, overseeing a team of engineers and driving the overall data strategy.
Salary & Benefits
Airwallex offers a competitive salary and benefits package to attract and retain top talent. The salary range for a Data Platform Engineer II in Singapore/Shanghai typically falls between $80,000 and $150,000 USD per year, depending on experience and qualifications. In addition to salary, Airwallex provides comprehensive health insurance, paid time off, employee stock options, professional development opportunities, and other perks to support your well-being and career growth.
Airwallex Culture
Airwallex is a fast-paced, innovative company with a strong emphasis on collaboration and continuous learning. We value individuals who are proactive, results-oriented, and passionate about building the future of global finance. Our culture is built on the following principles:
- Customer Obsession: We put our customers first and strive to exceed their expectations.
- Innovation: We embrace new ideas and challenge the status quo.
- Collaboration: We work together as a team to achieve our goals.
- Ownership: We take responsibility for our actions and outcomes.
- Learning: We continuously seek opportunities to learn and grow.
How to Apply
If you are interested in joining the Airwallex team as a Data Platform Engineer II (Knowledge Platform & AI Enablement), please submit your application online through our careers page. Be sure to highlight your relevant experience, skills, and qualifications in your resume and cover letter. We look forward to hearing from you!
Frequently Asked Questions
- What are the key responsibilities of a Data Platform Engineer II at Airwallex?
The key responsibilities include designing and implementing data pipelines, optimizing data storage and processing, and collaborating with cross-functional teams to translate business requirements into technical solutions.
- What skills and qualifications are required for this role?
The required skills and qualifications include 3+ years of experience as a data engineer, proficiency in Kotlin, Java, Scala, Python, and SQL, and experience with data ingestion frameworks and tools like Kafka, Flink, or Spark.
- What is the salary range for this position?
The salary range for a Data Platform Engineer II in Singapore/Shanghai typically falls between $80,000 and $150,000 USD per year, depending on experience and qualifications.
- What benefits does Airwallex offer to its employees?
Airwallex offers comprehensive health insurance, paid time off, employee stock options, professional development opportunities, and other perks to support your well-being and career growth.
- What is the work environment like at Airwallex?
Airwallex is a fast-paced, innovative company with a strong emphasis on collaboration and continuous learning.
- What is the career path for a Data Platform Engineer II at Airwallex?
As a Data Platform Engineer II, you can advance your career to a Senior Data Platform Engineer role, specialize in a specific area of data engineering, or move into leadership positions, such as a Data Engineering Manager.
- How does Airwallex support employee growth and development?
Airwallex provides professional development opportunities, including training courses and conferences, to help employees grow their skills and advance their careers.
- What is Airwallex's approach to diversity and inclusion?
Airwallex is committed to creating a diverse and inclusive workplace where everyone feels valued and respected.
- What is the application process for this role?
To apply for this role, please submit your application online through our careers page, highlighting your relevant experience, skills, and qualifications in your resume and cover letter.
- What opportunities are there to work on cutting-edge technologies at Airwallex?
Airwallex provides opportunities to work on cutting-edge technologies and innovative projects, such as AI enablement and the development of the next-generation data platform.
Locations
- Singapore, Singapore, Singapore
- Shanghai, Shanghai, China
Salary
88,000 - 165,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data Engineeringintermediate
- Data Pipelinesintermediate
- Batch Processingintermediate
- Stream Processingintermediate
- Kafkaintermediate
- Flinkintermediate
- Sparkintermediate
- Data Ingestionintermediate
- Data Architectureintermediate
- Lake House Architectureintermediate
- Data Schedulingintermediate
- Data Latency Reductionintermediate
- Data Qualityintermediate
- Data Consistencyintermediate
- SQLintermediate
- Kotlinintermediate
- Javaintermediate
- Scalaintermediate
- Pythonintermediate
- Cloud Computing (AWS, GCP, Azure)intermediate
- Data Warehousingintermediate
- ETLintermediate
- Data Modelingintermediate
- Big Data Technologiesintermediate
- Database Managementintermediate
- AI Enablementintermediate
- Knowledge Platform Developmentintermediate
Required Qualifications
- 3+ years of relevant experience as a data engineer. (experience)
- Bachelor's or Master's degree in CS/CE/CIS, or equivalent experience. (experience)
- Proficiency in Kotlin, Java, Scala, Python, and SQL. (experience)
- Experience designing, building, and maintaining scalable and reliable batch and stream data pipelines. (experience)
- Experience with data ingestion frameworks and tools like Kafka, Flink, or Spark. (experience)
- Understanding of data architecture concepts and experience with Lake House architectures. (experience)
- Ability to optimize data storage, processing, and application. (experience)
- Experience with data scheduling and reducing data latency. (experience)
- Knowledge of data quality and consistency concerns. (experience)
- Experience with integration of external (third-party) data sources. (experience)
- Strong collaboration skills to work with product, engineering, and BI teams. (experience)
- Ability to translate business requirements into engineering solutions. (experience)
- Experience with cloud-based data platforms (e.g., AWS, GCP, Azure). (experience)
- Familiarity with data warehousing concepts and ETL processes. (experience)
- Solid understanding of data modeling principles. (experience)
- Experience with big data technologies. (experience)
Responsibilities
- Design, build, and maintain scalable and reliable batch and stream data pipelines for internal analytics and operational use cases.
- Participate in building data ingestion frameworks connecting internal systems with the centralized data platform using tools like Kafka, Flink, or Spark.
- Collaborate with senior engineers to define and maintain internal data engineering tools, standards, and practices.
- Contribute to automation and reliability improvements that reduce data latency and improve platform scalability.
- Assist with integration of external (third-party) data sources and handle data quality and consistency concerns.
- Work cross-functionally with product, engineering, and BI teams to translate business requirements into engineering solutions.
- Optimize data storage, processing, and application on the next-generation data platform.
- Incorporate new data components and consider new data architectures (such as Lake House).
- Achieve faster data scheduling and significantly reduce data latency.
- Enable more efficient operation of data engineering applications.
- Leverage past experiences in data engineering to contribute to various aspects of data engineering.
- Ensure data quality and consistency across all pipelines and data sources.
- Develop and implement data monitoring and alerting systems.
- Participate in code reviews and contribute to a culture of high-quality code.
Benefits
- general: Competitive salary and performance-based bonuses.
- general: Comprehensive health insurance coverage (medical, dental, vision).
- general: Generous paid time off policy, including vacation, sick leave, and holidays.
- general: Employee stock options, allowing you to share in the company's success.
- general: Professional development opportunities, including training courses and conferences.
- general: Employee assistance program (EAP) for confidential counseling and support.
- general: Wellness programs and resources to promote physical and mental well-being.
- general: Company-sponsored events and activities to foster team building and camaraderie.
- general: Flexible work arrangements to support work-life balance.
- general: Commuter benefits or transportation assistance.
- general: Retirement savings plan with company matching contributions.
- general: Paid parental leave for new parents.
- general: Life insurance and disability coverage.
- general: Employee referral program with bonus opportunities.
- general: Modern and collaborative office environment.
- general: Opportunities to work on cutting-edge technologies and innovative projects.
- general: Global mobility opportunities for career growth and international exposure.
- general: Access to a diverse and inclusive workplace culture.
- general: Free snacks, drinks, and catered lunches.
Tags & Categories
Answer 10 quick questions to check your fit for Data Platform Engineer II (Knowledge Platform & AI Enablement) Careers at Airwallex - Singapore, Singapore | Apply Now! @ Airwallex.
Related Books and Jobs