Senior Data Engineer, Compliance Data Platform

Okx
Hong Kong +1 more
On-site

Who this role is best for

Aimed at senior data engineers comfortable with compliance data domains, working in crypto or fintech industries and using AI tooling for rapid domain adaptation.

Best fit for

  • Senior data engineers with expertise in compliance or financial data domains.
    — “Strong data modelling skills for compliance or financial data
  • Candidates who can quickly learn and apply new domain knowledge using AI.
    — “Fast domain learner with evidence — can point to a time they ramped up in an unfamiliar domain quickly, ideally using AI tooling
  • Engineers comfortable with ambiguity and turning underspecified requirements into scoped tasks.
    — “Comfortable working in ambiguity: turns underspecified compliance requirements into scoped engineering tasks

Things to consider

  • The role requires deep involvement in compliance operations across multiple markets.
    — “regulatory reporting across 100+ markets
  • Expectation to own sub-domains end-to-end, not just execute tickets.
    — “you will own sub-domains end-to-end, not just execute tickets

How to stand out

  • Highlight specific examples of AI tooling used in data engineering projects.
    — “AI/LLM tooling applied to data engineering in practice — concrete examples preferred
  • Demonstrate experience with compliance platforms like Scila or World-Check.
    — “Familiarity with Scila, Unit21, World-Check, or equivalent TMS/CMS platforms
  • Showcase instances where you designed proactive data quality checks.
    — “Design proactive DQC checks into pipelines
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • own end-to-end compliance data pipelines
  • design proactive DQC checks
Typical background
4+ years in data engineering with strong production pipeline experience

Skills & requirements

Required

Data Pipeline DesignCompliance Data InfrastructureData Quality ManagementAI Tooling

Preferred

Regulatory Compliance

Stack & domain

ETLELTSQLPythonData ModellingAi ToolingCompliance Data PlatformData EngineeringCompliance Operations

About the role

Original posting from Okx via Greenhouse

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.

Source: Okx careers (Greenhouse)

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