Senior Data Engineer – APAC

This is a fully remote position, open to applicants in Hong Kong, +2 more countries.

📋 Description

• Design, develop, and maintain scalable data pipelines that address the data and feature engineering requirements of the Square team.

• Take the lead in preparing, transforming, validating, and monitoring feature data for machine learning and recommendation/search systems.

• Work collaboratively with algorithm, product, and business teams to convert business needs into reliable data and feature solutions.

• Propel the advancement of core data infrastructure and feature platforms using data-driven strategies to enhance business outcomes.

• Guarantee data quality, stability, and performance for both offline and online feature pipelines.

• Detect data gaps and optimization possibilities, and establish success metrics in collaboration with Product and Business stakeholders.

⛳️ Requirements

• A Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or related fields, along with 5+ years of relevant industry experience.

• Extensive hands-on experience in data engineering, including large-scale data processing, ETL/ELT pipelines, and feature engineering.

• Expert-level proficiency in Java and Scala.

• Strong experience with big data technologies (e.g., Spark, Hive, Flink, or similar distributed systems).

• Familiarity with the machine learning feature lifecycle, covering both offline training features and online serving features.

• Experience with data warehouses and feature stores is a significant advantage.

• Bilingual proficiency in English and Chinese is essential for coordinating with overseas partners and stakeholders.

• Demonstrated ownership, strong communication skills, and the ability to thrive in a fast-paced, cross-functional environment.

🏝️ Benefits

• Shape the future of finance.

• Collaborate with world-class talent in a user-centric global organization with a flat structure.

• Tackle challenging projects in a fast-paced and innovative environment with autonomy.

• Thrive in a results-driven workplace with opportunities for career growth and continuous learning.

• Competitive salary and company benefits.

• Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team).