Senior Data Engineer (APAC Remote)

About the role

Binance is looking for a Senior Data Engineer to work remotely for its APAC team. The role covers designing, building and maintaining scalable data pipelines that support data and feature engineering needs, and driving core data infrastructure and feature platforms.

Key responsibilities

• Design, build and maintain scalable data pipelines supporting the Square team's data and feature engineering needs.
• Lead feature data preparation, transformation, validation and monitoring for machine learning and recommendation/search systems.
• Work with algorithm, product and business teams to turn business requirements into reliable data and feature solutions.
• Develop core data infrastructure and feature platforms with data-driven strategies.
• Ensure data quality, stability and performance across offline and online feature pipelines.
• Identify data gaps and optimization opportunities and define success metrics with Product and Business stakeholders.

Required profile

• Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering or a related field, with 5+ years of relevant industry experience.
• Strong hands-on data engineering experience, including large-scale data processing, ETL/ELT pipelines and feature engineering.
• Expert-level Java and Scala; solid experience with big data technologies such as Spark, Hive or Flink.
• Familiarity with the machine learning feature lifecycle, including offline training features and online serving features.
• Experience with data warehouses and feature stores is a strong plus.
• Bilingual English and Chinese to coordinate with overseas partners and stakeholders.
• Strong ownership, communication skills and ability to work in a fast-paced, cross-functional environment.

What we offer

• Competitive salary and company benefits.
• Remote-first, work-from-home arrangement (may vary depending on the role and team).
• A flat, user-centric global organization with opportunities for career growth and continuous learning.