You will join the team that builds and operates the firm's core data platform — the backbone for market data and trading data across the business. We capture high-throughput market data from global exchanges and venues, run real-time and batch pipelines, and serve a multi-backend data warehouse used by trading desks, quants, and analytics.
Accuracy, reliability, and timeliness are everything: our outputs feed live trading, research, and reporting. We're hiring a Data Engineer to help build and operate this platform end-to-end — from ingestion through pipelines and storage to the infrastructure that runs it all.
- 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.
- Bachelor's degree or above in Computer Science or a related field.
- 3–8 years in software or data engineering (we'll calibrate level to your experience).
- Strong production skills in Java and/or Python.
- Solid SQL and hands-on experience with at least one of MySQL/PostgreSQL, ClickHouse, or a comparable columnar/time-series store (schema design, query performance).
- Experience building and operating data pipelines (batch and/or streaming) in production.
- Experience integrating with external APIs (REST/WebSocket) and handling real-world constraints — auth, rate limits, partial outages, schema drift.
- An ownership and operational mindset: you care about data quality, monitoring, reproducibility, incident response, and documentation.
- Proactive in using AI tools (AI coding assistants, LLMs) to work faster and smarter, with curiosity about applying AI/ML to data problems.
- Eagerness to learn — open to picking up Rust and new storage technologies as the platform evolves.
- Strong communication skills; comfortable working across business and technical teams.
- Fluency in Chinese and English.
- Rust, or a strong interest in learning it for performance-critical components.
- Hands-on experience with Apache Iceberg / lakehouse, ClickHouse, or Kafka (Spark a plus for Iceberg integration).
- Exposure to Kubernetes, GitLab CI/CD, and cloud infrastructure (Alibaba Cloud, AWS, or GCP).
- Workflow orchestration tooling (Airflow, Celery, or similar).
- Exposure to AI/ML tooling (MLflow, model serving) or building/serving data for ML and AI workloads.
- Experience with market data, trading, or financial/crypto data at scale.
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 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.
Skills Required
- Bachelor's degree or above in Computer Science or a related field
- 4-7 years in software or data engineering, ideally in trading, middle-office, or post-trade systems
- Strong production Python skills, ideally with Spark/PySpark experience
- Strong SQL skills and hands-on MySQL and PostgreSQL experience
- Experience integrating with external APIs (REST/WebSocket)
- Familiarity with trade lifecycle concepts
- Proven ability to own production systems end-to-end
- Fluency in Chinese and English
OKX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about OKX and has not been reviewed or approved by OKX.
-
Fair & Transparent Compensation — Pay is considered competitive or above market, especially in engineering, product, and legal roles across major hubs. This positioning is consistently cited as a major attraction for candidates.
-
Healthcare Strength — Role descriptions indicate comprehensive medical, dental, vision, life, and disability coverage, with employer-paid premiums in some cases. Health coverage is highlighted alongside core benefits like PTO and parental leave.
-
Wellbeing & Lifestyle Benefits — Allowances for education and fitness, meal perks and snacks, team-building budgets, and structured learning programs are described across locations. These extras enhance the total rewards package beyond base pay.
OKX Insights
What We Do
Founded in 2017, OKX is one of the world’s leading cryptocurrency spot and derivatives exchanges. OKX innovatively adopted blockchain technology to reshape the financial ecosystem by offering some of the most diverse and sophisticated products, solutions, and trading tools on the market. Trusted by more than 20 million users in over 180 regions globally, OKX strives to provide an engaging platform that empowers every individual to explore the world of crypto. In addition to its world-class DeFi exchange, OKX serves its users with OKX Insights, a research arm that is at the cutting edge of the latest trends in the cryptocurrency industry. With its extensive range of crypto products and services, and unwavering commitment to innovation, OKX’s vision is a world of financial access backed by blockchain and the power of decentralized finance.
