Senior Data Engineer, Compliance Data Platform

原始資料於 2026-11-06T13:32:39.043595+00:00 查閱；內容可能已更新，請查看原始職位。

Requirements:
4+ years in data engineering with strong production pipeline experience (ETL/ELT, SQL, Python, orchestration)
Demonstrated ability to own a data domain end-to-end — business logic, quality, and incident handling
Strong data modelling skills for compliance or financial data (auditability, lineage, immutability)
Fast domain learner with evidence — can point to a time they ramped up in an unfamiliar domain quickly, ideally using AI tooling
Comfortable working in ambiguity: turns underspecified compliance requirements into scoped engineering tasks
Preferred Qualifications:
Experience in compliance, AML, KYC, transaction monitoring, or financial crime data domains
Background in crypto, fintech, or regulated financial services
Familiarity with Scila, Unit21, World-Check, or equivalent TMS/CMS platforms
AI/LLM tooling applied to data engineering in practice — concrete examples preferred
Perks & Benefits:
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
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