Senior Data Engineer — Data Engineering
Singapore
OKX operates a global crypto exchange and develops products including OKX Wallet that support digital asset trading and decentralized applications. The Legal, Compliance & Finance Data Team builds the compliance data infrastructure powering transaction monitoring, KYC, enhanced due diligence, case management, and regulatory reporting across more than 100 markets.
As a Senior Data Engineer, you will own production data pipelines and compliance data domains from ingestion through reporting while ensuring auditability, data quality, and regulatory correctness. The role combines hands-on data engineering, AI-assisted development, and close collaboration with compliance projects, making it well aligned with blockchain infrastructure roles focused on scalable compliance systems and enterprise-grade data platforms.
🔹 Responsibilities
Own end-to-end production data pipelines from ODS ingestion through CDM to downstream data marts supporting transaction monitoring, KYC, CMS, and regulatory reporting.
Design, build, and maintain reliable, auditable, and regulatory-compliant production pipelines.
Develop compliance data solutions across transaction monitoring, Scila and TME platform integrations, KYC refresh pipelines, CRR scoring features, remediation datasets, World-Check integrations, case management data, transaction analysis tooling, KYB operational datasets, and regulatory reporting.
Design proactive Data Quality Control (DQC) checks, reconciliation processes, monitoring, and alerting to identify issues before they affect downstream systems or regulatory reporting.
Apply AI and LLM tooling to accelerate compliance domain learning, pipeline development, documentation, and DQC implementation.
Partner closely with the Compliance Project Lead by taking ownership of technical sub-domains and mentoring junior engineers as domain expertise develops.
🔹 Requirements
Minimum 4 years of data engineering experience with production ETL/ELT pipelines, SQL, Python, and orchestration frameworks.
Proven ability to own an end-to-end data domain including business logic, data quality, operational support, and incident management.
Strong data modelling experience for compliance or financial datasets with emphasis on auditability, lineage, and immutability.
Demonstrated ability to learn complex domains quickly, ideally using AI-assisted development tools.
Comfortable converting ambiguous compliance requirements into well-defined engineering deliverables.
Preferred Qualifications
Experience in compliance, AML, KYC, transaction monitoring, or financial crime data engineering.
Background in cryptocurrency, fintech, or regulated financial services.
Familiarity with Scila, Unit21, World-Check, or similar transaction monitoring and case management platforms.
Practical experience applying AI or LLM tooling within data engineering workflows.
🔹 Compensation & Benefits
Competitive total compensation package.
Learning and development programs with education subsidy.
Team-building activities and company events.
Wellness and meal allowances.
Comprehensive healthcare coverage for employees and dependants.
Additional benefits shared during the hiring process.