Senior Staff Data Engineer at OKX

Hong Kong Island, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Apache Flink, Real-Time Data Streaming, Data Processing, Feature Engineering, Machine Learning, Data Solutions, Cross-Functional Collaboration, Performance Troubleshooting, System Stability, Data Integrity, Blockchain Technology, FinTech, Programming Languages, DApps, Smart Contract Security, Risk Management

Industry

IT Services and IT Consulting

Description

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. 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 allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! 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.

Responsibilities

Design, develop, and maintain real-time and batch data processing pipelines using Flink. Collaborate with data scientists and cross-functional teams to provide robust and scalable data solutions.