Senior/Staff Engineer, Liquidity Platform, Data Engineer (Data Platform)

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Team 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. Key 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. Qualifications - 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. Preferred Skills - 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. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms fro

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.

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.