OKX is hiring a Senior Data Engineer in Engineering — Hong Kong, Hong Kong SAR. The overview below is synthesized from the employer posting on job-boards.greenhouse.io: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
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).
About the Team
Company context from the listing:
Our company, specializing in blockchain and web3 technologies, places a high emphasis on security and reliability. We are seeking individuals who are deeply knowledgeable in operating systems, browsers, DApps, smart contract security, and programming language behaviors.
What You’ll Be Doing
- Design, develop, and maintain real-time and batch data processing pipelines using Flink, ensuring high performance and scalability.
- Responsible for the architecture design and development of Flink streaming systems, tailoring solutions to complex business requirements.
- Collaborate with data scientists to support feature engineering and develop feature stores for machine learning models in production.
- Work closely with cross-functional teams, including AI, compliance, risk, and engineering, to provide robust and scalable data solutions.
- Troubleshoot and resolve performance bottlenecks and technical challenges in real-time stream processing, ensuring system stability and scalability.
- Improve system performance and data integrity, addressing complex issues in real-time data pipelines.
What We Look For In You
Experience and skills the team lists as required:
- Deep expertise in Apache Flink for real-time data streaming and processing, with experience in designing and developing streaming architecture.
- Familiarity with data platforms such as Alibaba Cloud Hologres, Doris/Clickhouse, and Spark.
- Experience in feature engineering and feature store development to support machine learning applications in production environments.
- At least 10 years of relevant work experience, especially in large enterprises or international Fintech companies
- Background in FinTech or blockchain companies.
- Strong English communication skills to work effectively in a cross-national team
Bonus Points:
Experience in developing feature stores.
Experience with blockchain technology.
Disclaimer: 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:
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Build a standout application
For the Senior Data Engineer at OKX, reviewers look for concise evidence over buzzwords. Mirror the language of the posting sparingly, quantify support or delivery outcomes, and show how you handled ambiguity, time-zone collaboration and user empathy. Keep your resume to impact, keep your cover note to one page, and link to artifacts — tickets resolved, docs shipped, dashboards owned — that prove you can operate in a fast-moving Web3 team. Prepare to discuss a time you turned a confusing user report into a clear fix and how you measure quality in support and operations.
Web3 hiring values reliability: on-time follow-through, clear writing, and a track record of improving runbooks and tooling. Treat the application as a work sample. For interviews, be ready to walk through how you prioritize across time zones, handle a difficult user, and decide when to escalate versus resolve directly. Show how you document decisions so the next teammate benefits.
In a distributed Web3 org, trust builds through written clarity. Use the cover note to demonstrate it.