Senior Data Engineer, Compliance Data Platform

OKX

Hong Kong

On-site

HKD 900,000 - 1,100,000

Full time

14 days+

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Benefits offered by this job

L&D programs
Team events
Wellness stipend
Healthcare coverage
Meal allowances

Job summary

OKX is seeking a Senior Data Engineer for its Compliance Data Platform. You will own end-to-end pipelines across ODS ingestion, CDM, and downstream marts powering TMS, KYC, CMS, and regulatory reporting. Design reliable, auditable pipelines with robust monitoring and data quality checks.

You will apply AI tooling to accelerate domain building, DQC design, and documentation, while collaborating with the Compliance Project Lead and mentoring junior engineers as the domain expands.

Qualifications

  • 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 — ramped up quickly, ideally using AI tooling
  • Comfortable working in ambiguity: turn underspecified compliance requirements into scoped engineering tasks

Responsibilities

  • Own end-to-end pipelines from ingestion through downstream marts for regulatory reporting and compliance data domains
  • Design, build, and maintain production-grade pipelines with reliability, auditability, and regulatory correctness
  • Develop proactive data quality checks and monitoring to catch issues early
  • Apply AI/LLM tooling to accelerate pipeline development, DQC design, and documentation
  • Collaborate with the Compliance Project Lead and mentor junior engineers as domain ownership grows

Skills

ETL/ELT
SQL
Python
Orchestration

Tools

Scila
World-Check
Unit21

Job description

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: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.

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