OKX is hiring a Data Engineer, Product Data Development in Engineering — Singapore, Singapore. 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.
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
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:
OKX data team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists.
Responsibilities
Day-to-day scope for the Data Engineer, Product Data Development as described in the posting:
- Proficient in mainstream cloud computing and big data technologies such as Hadoop, Hive, Flink, YARN, Elasticsearch (ES), Kafka, etc.
- Expert in real-time big data processing using Flink, with solid experience in Flink SQL development.
- Build and optimize offline and real-time data pipelines to ensure data timeliness and accuracy.
- Independently manage end-to-end business requirements, responsible for the R&D design and construction of the online (customer-facing) product data pipeline, including performance optimization, and empower business growth through data products and services.
Requirements
Experience and skills the team lists as required:
- Bachelor’s degree or higher from an accredited university in Computer Science or a related field.
- 3+ years of experience independently handling end-to-end business requirements, with strong self-motivation, a high sense of responsibility, excellent communication and teamwork skills, and a passion for continuous learning and self-challenge.
- Proficiency in both English and Chinese (listening, speaking, reading, and writing).
- Familiar with data warehouse modeling, with successful experience in designing and refactoring large-scale data warehouses.
- Mastery of multiple big data architectures, especially Alibaba Cloud DataWorks/MaxCompute, AWS Spark, Databricks, and StarRocks/Doris.
- In-depth understanding of real-time processing, expert in Flink performance tuning and stress testing, and Flink source code reading experience is preferred.
Preferred Qualifications
Experience and skills the team lists as required:
- IELTS score of 7 or above in all four components.
- 3+ years of work experience in English-speaking regions.
- Experience in cross border e-commerce, and familiarity with multi-country, multi-language architectural design is a plus.
- Solid foundation in Java, with backend development experience.
Perks & Benefits
What the posting highlights about the offer:
- 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!
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.
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Build a standout application
For the Data Engineer, Product Data Development 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.