Senior Data Engineer
Hong Kong, Hong Kong SAR
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, develop and maintain real-time and batch data pipelines using Flink
Design the architecture of Flink streaming systems for complex business needs
Support feature engineering and build feature stores for production ML models
Troubleshoot performance bottlenecks in real-time stream processing
From the employer’s posting
Design, develop, and maintain real-time and batch data processing pipelines using Flink
Responsible for the architecture design and development of Flink streaming systems
Collaborate with data scientists to support feature engineering and develop feature stores for machine learning models in production.
Troubleshoot and resolve performance bottlenecks and technical challenges in real-time stream processing
What you’ll bring
All qualificationsCore experience
- At least 10 years of relevant work experience
- Deep expertise in Apache Flink for real-time streaming and processing
- Familiarity with Alibaba Cloud Hologres, Doris/ClickHouse, and Spark
- Experience in feature engineering and feature store development for ML in production
- Strong English communication skills for a cross-national team
Preferred experience
- Background in FinTech or blockchain companies
- Experience with blockchain technology
Qualification wording
At least 10 years of relevant work experience
Deep expertise in Apache Flink for real-time data streaming and processing
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.
Strong English communication skills to work effectively in a cross-national team
Background in FinTech or blockchain companies.
Experience with blockchain technology.
Tools in this posting
- ClickHouse
- Spark
Source — Tool mentions in context
- 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.
About OKX
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
In the employer’s words · Read in context
Posting record
Report an errorOpen 6 monthsWe first saw this listing 195 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 14, 2026 · 195 days ago
- Recorded sightings
- 369
- Last seen by us
- Oct 27, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Job description
Who We Are
About the Team
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. Responsibilities include identifying potential risks such as private key storage and designing leakage prevention solutions.
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:
- 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.
- Bonus Points:
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hong Kong, Hong Kong SAR
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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