Okx
Okx3mo ago

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

Hong KongHong Kong·Hong Kong Sarsenior
OtherData EngineeringData EngineerStaff EngineerData & AI
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Quick Summary

Key Responsibilities

Own and operate the trade and position platform end-to-end — roadmap, delivery, reliability, incidents, and continuous improvement.

Requirements Summary

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 .

Technical Tools
OtherData EngineeringData EngineerStaff EngineerData & AI
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 MeDo 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.
 

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.

 

Responsibilities

~1 min read
  • 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.

Requirements

~1 min read
  • 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.

Nice to Have

~1 min read
  • 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.

What We Offer

~1 min read
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!

Location & Eligibility

Where is the job
Hong Kong Sar, Hong Kong
On-site at the office
Who can apply
HK
Listed under
Hong Kong

Listing Details

Posted
March 20, 2026
First seen
March 26, 2026
Last seen
July 2, 2026

Posting Health

Days active
97
Repost count
0
Trust Level
31%
Scored at
July 2, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Okx
Okx
greenhouse

OKX is a global cryptocurrency exchange and Web3 technology company, offering trading, wallet services, and access to decentralized finance. Founded in 2017, it serves millions of users in over 100 countries.

Employees
5k+
Founded
2017
Domain
okx.com
View company profile
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OkxSenior/Staff Engineer, Liquidity Platform, Data Engineer (Data Platform)