Data Engineer, Anti-Money Laundering

About the role

Join Ant International's Global Risk Management team as a Data Engineer focused on anti‑money‑laundering (AML) initiatives. You will design and operate large‑scale security data platforms that support real‑time risk control, offline analytics, and near‑real‑time processing across multiple regions.

Key responsibilities

• Build and maintain security‑related data systems on the security data platform, integrating tooling products and establishing foundational computing layers.
• Design, develop, and optimize offline, near‑real‑time, and real‑time data pipelines, including ETL, computation, management, and monitoring components.
• Collaborate with security business units to understand requirements, design data models, and continuously deliver business outcomes.
• Provide feedback on underlying engine designs and contribute to performance improvements for billion‑scale data workloads.

Required profile

• 3+ years of experience in data engineering, warehousing, analytics, or mining.
• Strong background in data architecture, data modeling, and ETL design with hands‑on experience processing massive‑scale data.
• Proficiency in SQL, Java UDFs, HiveSQL, MaxCompute SQL, and other big‑data technologies.
• Solid development skills in Java and/or Python.
• Bachelor's degree in Computer Science or a related field.

Required skills

• SQL
• Java UDFs
• HiveSQL
• MaxCompute SQL
• Java
• Python
• Data modeling
• ETL development
• Big‑data technologies