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Senior Data Engineer

Hong Kong, Hong Kong SAR

Pay
Pay not listed
Work setting
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Employment
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What you’ll work on

Full posting
  • Design, 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 qualifications

Core 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

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Open 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

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Job description

View original posting ↗

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

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.
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:
All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.
Source details

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Location & working pattern

Hong Kong, Hong Kong SAR

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