Senior Data Engineer, Compliance Data Infrastructure
OKX
Singapore, Singapore
On-site
Scalable data pipelines
Data quality monitoring
Ai-assisted development
Design, build, and maintain scalable data pipelines that ingest, transform, and deliver data for compliance analytics use cases
Job Summary
Design, build, and maintain scalable data pipelines that ingest, transform, and deliver data for compliance analytics use cases.
Apply AI-assisted engineering as standard practice, using LLM tooling to write and review pipeline code, automate data quality checks, and generate documentation.
Work with compliance and legal teams to understand regulatory requirements around data retention, access control, and auditability, and build the controls that meet those requirements in practice.
Matching Summary
Design, build, and maintain scalable data pipelines that ingest, transform, and deliver data for compliance analytics use cases.
Skills & Requirements
Must-have
Scalable data pipelines
Data quality monitoring
AI-assisted development
Python and SQL proficiency
Cloud big data platforms
Nice-to-have
Financial services experience
Compliance-adjacent environment
LLM coding tools fluency
Auditability and access control
Key Requirements
8+ years in data engineering
Meaningful experience in financial services, fintech, or compliance-adjacent
Hands-on experience with Spark, Hadoop, or Databricks