Senior Data Engineer - Compliance Platform (AI-Driven)
Summary
Senior data engineer on OKX's compliance data platform in Hong Kong, owning end-to-end pipelines (ODS ingestion to marts) serving transaction monitoring, KYC/CMS, and regulatory reporting. Core stack is SQL, Python, and ETL/ELT orchestration, with heavy use of AI/LLM tooling to ramp on compliance domains and build data-quality checks.
Senior Data Engineer, Compliance Data Platform
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:We Before Me,Do the Right Thing, andGet Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the team
The Legal, Compliance & Finance Data Team builds the data infrastructure powering OKX's compliance operations globally — TMS, KYC/EDD, CMS, and regulatory reporting across 100+ markets. The compliance data domain is broad but learnable. We expect senior engineers to build deep domain knowledge quickly using AI tooling and structured onboarding.
About the role
We are looking for a Senior Data Engineer to work as a core execution partner to our Compliance Projects. This is a hands-on technical role with real domain ownership — you will own sub-domains end-to-end, not just execute tickets. Strong performance creates a direct route toward the Compliance domain's technical leadership layer as the team scales.
Responsibilities:
Pipeline Ownership: Own end-to-end pipelines from ODS ingestion through CDM to downstream marts serving TMS, KYC, CMS, and regulatory reporting. Design, build, and maintain production-grade pipelines with reliability, auditability, and regulatory correctness as first-class requirements.
Full-Stack Compliance Coverage:
TMS: transaction monitoring feeds, rule feature engineering, Scila/TME platform data integration, TME/ARS features
KYC/CRR/EDD: KYC refresh pipelines, remediation datasets, CRR scoring features, Worldcheck integration
CMS: case management data, transaction analysis tooling, bulk search, KYB operation data
Regulatory reporting: recurring compliance reports for global and jurisdiction-specific requirements
Data Quality: Design proactive DQC checks into pipelines. Own monitoring and reconciliation; build alerting that catches issues before downstream systems or regulators do.
AI-Accelerated Domain Building: Use AI tooling actively to ramp on compliance domain knowledge. Apply LLM-assisted development to accelerate pipeline development, DQC design, and documentation.
Collaboration: Work closely with the Compliance Project Lead as a trusted technical partner — take sub-domain ownership to expand his effective bandwidth. Mentor junior engineers as your domain confidence grows.
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
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
More that we love to tell you along the process!
Notice:
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