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Senior Data Engineer, Compliance Data Platform

OKXHong Kong, HK

EngineeringSenior
Source-verified: read directly from this employer's own greenhouse job board, not a repost.Posted (3 months ago)Last verified (today)

At a glance

Location
Hong Kong, HK
Workplace
Not stated
Pay
Not published by the employer
Employment type
Not stated
Experience
Not stated
Education
No degree requirement stated
Job family
Engineering
Seniority
Senior
Posted by employer
8 June 2026
Last verified open
7 September 2026
Region and country
HK
Team
Engineering
Listed via
Greenhouse

What the employer wrote

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 , 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 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 

• More that we love to tell you along the process!

  Notice:

All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website.

Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to  OKX 's Candidate Privacy Notice .

Where this record came from

Read from OKX's own Greenhouse job board on , and last confirmed still open on . The employer published it on 8 June 2026. Jobsearch.ing did not write, edit or rank this posting, and does not vet the employer. View the original posting.

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