OKX - Senior/Staff Engineer, Liquidity Platform, Data Engineer (Data Platform)
Requirements
• Bachelor's degree or above in Computer Science or a related field. • 4-7 years in software or data engineering, ideally with exposure to trading, middle-office, or post-trade systems. • 4-7 years • trading, middle-office, or post-trade systems • Strong production Python skills, ideally with Spark/PySpark experience, with a focus on code quality and operational reliability. • production Python • Strong SQL skills; hands-on MySQL and PostgreSQL experience (schema design, performance tuning). • MySQL and PostgreSQL • Experience integrating with external APIs (REST/WebSocket) and navigating real-world constraints. • external APIs • Familiarity with trade lifecycle concepts — positions, fees, funding, and reconciliation. • trade lifecycle concepts • A controls mindset: you care about data quality, reproducibility, and documentation. • controls mindset • Proven ability to own production systems end-to-end — from incident response to stakeholder communication. • own production systems • Strong communication skills; comfortable working across business and technical teams, aligning on requirements and data delivery. • Fluency in Chinese and English. • Experience with workflow orchestration tools (Airflow, Celery, or similar). • Exposure to Kubernetes (k8s) for containerized deployments. • Kubernetes (k8s) • Exposure to modern data platforms (Iceberg, ClickHouse) or ML tooling (MLflow, TensorFlow).
Responsibilities
• Build and operate data pipelines end-to-end — ingestion from exchange/venue APIs (REST/WebSocket), streaming (Kafka), batch processing, and delivery to storage. • Develop platform services, tooling, and jobs in Java and Python, with a focus on code quality and operational reliability. • Operate and scale our storage backends — Apache Iceberg (lakehouse), ClickHouse (analytics/OLAP), and MySQL/PostgreSQL (transactional) — including schema design and performance tuning. • Keep the platform healthy — monitoring, alerting, data-quality checks, backfills, and incident response across pipelines and infrastructure. • Support data consumers — trading desks, quants, and analytics — with query support, schema/source onboarding, and client-library maintenance. • Drive platform evolution — backend migrations, performance optimization, and CI/CD on Kubernetes — and onboard new data sources and venues efficiently. • Work AI-native — use AI coding assistants and LLM tooling to accelerate development, debugging, and data operations, and help the team adopt AI across its workflows.
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 allowance • Comprehensive healthcare schemes for employees and dependants • More that we love to tell you along the process! • Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. • 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. • 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.
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