Senior Data Platform Engineer, Growth Data Platform at Airwallex

Role Overview

As a Senior Data Platform Engineer in the Growth Data Platform team at Airwallex, you will be at the forefront of building and optimizing the next-generation data infrastructure. This role is crucial for supporting the company's data and AI strategy, focusing specifically on the needs of the Growth team. Your primary responsibilities will include designing, developing, and maintaining data pipelines, ensuring data quality, and implementing efficient data processing solutions. You will work with a variety of technologies, including Databricks, Spark, Kafka, and cloud-based data solutions, to create a robust and scalable data platform.

A Day in the Life

A typical day might involve:

• Designing and implementing new data pipelines to support the Growth team's initiatives.
• Optimizing existing data pipelines for improved performance and reduced latency.
• Collaborating with data scientists and analysts to understand their data requirements.
• Troubleshooting and resolving data pipeline issues.
• Implementing data governance and security policies.
• Participating in code reviews and contributing to the overall improvement of the data platform.
• Staying up-to-date with the latest data engineering technologies and trends.
• Attending team meetings and sharing knowledge with colleagues.

Why Singapore?

Singapore is a global hub for technology and innovation, offering a vibrant ecosystem for data engineers. Airwallex's presence in Singapore provides access to a diverse talent pool, a supportive regulatory environment, and a thriving business community. Working in Singapore allows you to be at the center of the company's growth strategy in the Asia-Pacific region and contribute to building a world-class data platform.

Career Path

This role offers significant opportunities for career growth within Airwallex. You can progress to roles such as:

• Lead Data Platform Engineer: Leading a team of data engineers and overseeing the development of the data platform.
• Data Architect: Designing and implementing the overall data architecture for the company.
• Principal Data Engineer: Providing technical leadership and guidance to the data engineering team.
• Engineering Manager: Managing and mentoring a team of engineers, including data engineers.

Salary & Benefits

The estimated salary range for this role in Singapore is between $120,000 and $180,000 USD per year, depending on experience and qualifications. Airwallex offers a comprehensive benefits package that includes health insurance, paid time off, employee stock options, and professional development opportunities.

Airwallex Culture

Airwallex fosters a culture of innovation, collaboration, and ownership. We value employees who are proactive, results-oriented, and passionate about building the future of global finance. We encourage employees to take risks, learn from their mistakes, and continuously improve their skills. We believe in empowering our employees to make a real impact on the company's success.

How to Apply

To apply for this role, please submit your resume and cover letter through the Airwallex careers page. Be sure to highlight your relevant experience and qualifications, and explain why you are interested in working at Airwallex.

FAQ

1. What are the key technologies used in the Growth Data Platform? We primarily use Databricks, Spark, Kafka, Python, and SQL.
2. What is the work environment like at Airwallex? It's collaborative, fast-paced, and innovative.
3. What opportunities are there for professional development? We offer a learning and development budget for employees to pursue relevant courses and certifications.
4. Is relocation assistance provided? Yes, relocation assistance may be provided for eligible candidates.
5. What are the career progression opportunities? Opportunities include Lead Data Platform Engineer, Data Architect, and Principal Data Engineer.
6. What is the interview process like? It typically involves a phone screen, a technical interview, and a final interview with the hiring manager.
7. What is the company's approach to data governance? We take data governance very seriously and have policies in place to ensure data quality and security.
8. Are there opportunities to work on cutting-edge AI/ML projects? Yes, we are actively involved in developing and deploying AI/ML models for various business applications.
9. What is the team structure like? The Knowledge Platform team is a cross-functional team consisting of data engineers, data scientists, and machine learning engineers.
10. What are the company's values? We value innovation, collaboration, ownership, and customer focus.