Lead/Staff Data Engineer

Why LINE MAN Wongnai

LINE MAN Wongnai is one of Thailand's fastest-growing technology companies, operating three core business groups: On-demand Services under the LINE MAN brand, the leader in food delivery, mart delivery, messenger, transportation, and telepharmacy; Merchant Digital Solutions under the Wongnai brand, the leading provider of POS and digital solutions for merchant management, beauty, and wellness clinics; and Pay & Financial Services under the LINE Pay brand, an integrated online and offline payment platform.

As a data and AI-driven company, our mission is to Digitalize Everyday Life Services, guided by our core values: Innovate Faster, Go Deeper, and Respect Everyone. Together, we power a digital ecosystem that serves 10 million users, 520,000 active online and offline merchants, and over 290,000 active riders and drivers nationwide.

Join us, and you'll work alongside talented, driven people who take real ownership from day one. Here, your work won't just move a project forward, it'll shape how millions of people live every day.

We are looking for an experienced data lead to develop large and high performance data processing systems to drive our business growth. Working in a fast-paced environment, you will bring your expertise and skills to tackle the challenges that impact millions of people on our journey to become the No.1 food platform in Thailand.

What you will do:

• Design and develop large and high performance data processing systems to drive LINE MAN Wongnai business growth and improve the product experience.
• Lead and oversee data engineering projects to ensure pipelines are reliable, efficient, testable, & maintainable.
• Improve data quality to management and governance.
• Evangelize high quality software engineering practices towards building data pipelines and platforms at scale.
• Contribute to shared engineering tooling & standards to improve the productivity and quality of output for engineers across the company

What you will need:

• At least 3-7 years of practical or hands-on experience in Data Engineering or relevant industry
• Excellent problem-solving skills and attention to detail
• Effective communication and collaboration skills
• Knowledge and experience with data quality frameworks (e.g., Great Expectations)
• Working knowledge with both relational and non-relational databases (e.g., MongoDB, MySQL, PostgreSQL)
• Strong proficiency in SQL, Python, and other programming languages commonly used in data engineering
• Extensive hands-on experience with Apache Spark Batch/Real Time and performance tuning
• Proven hands-on experience with Hadoop and familiarity with open table formats
• Experience with Polars and DuckDB (Preferable)