Senior Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked just now — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 2h ago
The date the source published, not the day we noticed it (2026-10-13). Last seen at its source just now.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
APAC
The description agrees: it names APAC.
What the ad says
…fully remote within APAC, with Mandarin as the team’s main working language…
Pay not stated
Similar roles pay $135k–178.5k/yr
Middle 50% of 13 listings that do state pay — Engineering · Senior · APAC · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Greenhouse employer's own board first seen 1h ago · last seen just now
The listing
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.