OKX is hiring a Senior/Staff Data Engineer, Analytics and Reporting 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:
The OKX Data Engineering 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. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services.
Responsibilities
Day-to-day scope for the Senior/Staff Data Engineer, Analytics and Reporting as described in the posting:
- Design, build, and maintain analytics-ready Data Marts using best-practice dimensional modeling (star/snowflake schemas)
- Partner with analytics and business teams to understand requirements and deliver trusted, well-documented datasets
- Design and build resilient and efficient data pipelines for both batch and real-time streaming data
- Architect and design data infrastructure on cloud using industry standard tools
- Ensure data integrity and scalability through enforcement of data standards. Improve data validation and monitoring processes to proactively prevent, identify and resolve issues
- Define, understand, and test external/internal opportunities to improve our products and services
Requirements
Experience and skills the team lists as required:
- Bachelor’s Degree in Computer Science and at least 4+ years of experience in Data Engineering with significant focus on Data Marts
- Solid Experience with data processing tools such as Spark and Flink
- Solid Experience implementing batch and streaming data pipelines
- In-depth knowledge of both SQL and NoSQL databases, including performance tuning and troubleshooting
- Be proficient in SQL, familiar with advanced SQL features such as window functions, aggregate functions and creating scalar functions/user-defined functions
- Proven successful and trackable experience in full end-to-end data solutions involving data ingestion, data persistence, data extraction and data analysis
Preferred Qualifications
Experience and skills the team lists as required:
- Experience with Data Analysis platforms like Datawind
- Experience in Big Data tools such as Ali Cloud DataWorks, MaxCompute, AWS DataBricks, Hadoop, Hive, Spark and HBase
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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For the Senior/Staff Data Engineer, Analytics and Reporting 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.