Bilingual Data Engineer

A Global IT Service firm is looking for a Data Engineer in The AI & Data Division. We are looking for a Data Engineer who can drive business growth by strengthening the Analytics' data pipeline and advancing data processing through modern technologies, including AI. 

Responsibilities:
- Design, build, and maintain scalable ETL pipelines on cloud platforms with a focus on cost and performance trade-offs
- Engineering teams on pipeline development and release planning
- Customer Service on user data inquiries and feature requests and reporting of data anomalies
- SRE teams on pipeline reliability, monitoring, and governance
- proactively identifying and resolving issues, contributing to improvements that benefit the broader organization.


Why should you apply:
- This is a long-term opportunity with a chance to become a permanent employee 
- You will be working with international team members 
- Free breakfast, lunch and dinner at the cafeteria 


Company Details: 
A global company with a strong presence in multiple business areas. It has achieved sustained growth both domestically and internationally, including in the U.S. and Europe. The company boasts a diverse and international environment and is committed to equal opportunity, offering a wealth of career opportunities. Due to the diverse nature of our business, we handle a wide range of technologies! You can also choose the environment you are most comfortable with, such as Windows/Mac! Meals in the company cafeteria are also free. Our chefs are always coming up with new menu items, so you can enjoy your meal without getting bored!

Working hours: 9:00 - 17:30 (Mon-Fri)
Working Style: Hybrid (4 days in office, 1 day work from home)
Holidays: Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays, Other Special Holidays
Services/Benefits: Social insurance, DC Pension Plan, Transportation Fee, Skillhouse University, Test payback system, and more

- At least 5 years of work experience in development related to data pipelines, analytics platforms, or equivalent systems
- Hands-on experience building, maintaining, and troubleshooting ETL/data pipelines particularly on GCP
- Basic knowledge of computer science (e.g., shell scripting, SQL, python)
- Understanding of web/app analytics concepts such as sessions and conversion
- Hands-on experience using generative AI and AI agents in daily work (e.g., creating project documentation with LLMs, coding with AI coding agents, or improving development/operations efficiency using AI agents with MCP or similar tooling)