Posting record
Open 12+ days
- WOO X's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking WOO X, so its true age is longer.
Last checked Nov 4, 2026.
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Upload your resumeWhat the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
About WOO X
WOO X is a global centralised crypto trading platform offering spot and perpetual futures trading. With roots in quantitative trading, we focus on the details that matter to traders: liquidity, execution quality, and reliable tools.
Transparency is part of the product. Our live Proof of Reserves & Liabilities dashboard gives users visibility into reported platform assets and user liabilities.
Our team is fully remote. We’re looking for people who know their craft, are curious about the business, and want a hand in improving how the exchange works.
About the role
We’re looking for a Senior Data Engineer to maintain and develop WOO X’s data platform. You’ll build the pipelines and data models that make exchange data reliable and useful for analytics, reporting, and day-to-day business decisions.
This is a hands-on individual contributor role with a focus on platform engineering. You’ll work with engineering and business colleagues to understand how data is produced and used, address quality issues, and make the platform easier to maintain as requirements evolve.
What you’ll do
- Build and maintain batch and streaming data pipelines using Python, SQL, Kafka, and Spark.
- Develop and operate Airflow workflows, including scheduling, dependency management, retries, and recovery.
- Design and maintain data models and warehouse datasets for analytics and reporting.
- Improve data quality and freshness through validation, monitoring, and investigation of upstream and downstream issues.
- Optimise pipeline and query performance, and manage processing and storage costs.
- Work with data users to define datasets and metrics, and document data flows, transformations, and dependencies.
What you’ll bring
- Data engineering experience within crypto or Web3, including responsibility for production pipelines or a data platform.
- Strong Python and SQL skills, with experience building maintainable data processing workflows.
- Hands-on experience with Airflow, Kafka, and Spark.
- Experience with data warehouses, ETL/ELT pipelines, and data modelling.
- The ability to investigate data discrepancies, troubleshoot pipeline failures, and resolve underlying causes.
- The ability to work independently and communicate technical details and business requirements clearly in Mandarin.
Nice to have
- Experience at a centralised crypto exchange, particularly with trading, order, or account data.
- BI experience, including supporting dashboards, defining metrics, or preparing datasets for business users.
- Strong English communication skills.
Working with us
This role is fully remote within APAC, with Mandarin as the team’s main working language. You’ll work on a data platform connected to the daily operations of a crypto exchange and help colleagues get dependable answers from its data.
If you enjoy building data systems and understanding how people use them, we’d like to hear from you.
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