Senior Data Engineer, Compliance Data Platform

OKX; Hong Kong; On-site; HKD 70,000 - 100,000; Full time

Benefits offered by this job

Competitive total compensation package

L&D programs and education subsidy

Team building programs

Wellness and meal allowances

Comprehensive healthcare schemes

Job summary

OKX in Hong Kong is seeking a Senior Data Engineer to lead compliance projects and own data pipelines end-to-end. Responsibilities include designing production-grade pipelines, ensuring data quality, and leveraging AI tools for domain knowledge. Candidates should have over 4 years of data engineering experience and strong skills in ETL/ELT, SQL, and Python.

Preferred qualifications include experience in compliance-related domains and knowledge of financial crime data. OKX offers competitive compensation along with benefits focused on employee development and wellness.

Qualifications

• 4+ years in data engineering with strong production pipeline experience.
• Demonstrated ability to own a data domain end-to-end.
• Strong data modeling skills for compliance or financial data.
• Fast domain learner with evidence of quick ramp-ups.
• Comfortable working in ambiguity.

Responsibilities

• Own end-to-end pipelines from ODS ingestion through CDM.
• Design and maintain production-grade pipelines with reliability.
• Design proactive DQC checks and monitoring.
• Use AI tooling to ramp up compliance domain knowledge.
• Collaborate closely with the Compliance Project Lead.

Skills

Data engineering

ETL/ELT

SQL

Python

Data modeling

Project collaboration

AI tooling

Tools

Scila

Unit21

World-Check

Job description

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, and Get 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 you 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
• More that we love to tell you along the process

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