Senior Data Engineer - Compliance Platform (AI-Driven)

OKX; Hong Kong; On-site; HKD 900,000 - 1,100,000; Full time

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

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.