Strategic Overview
Senior Data Engineer at WOO X is a data opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as 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.
The role is listed for APAC with remote working arrangement, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include Data Science & Analytics, Senior.
Key information at a glance
About This Role
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.
Key Responsibilities & Objectives
- 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.
Required Qualifications & Candidate Blueprint
- 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.
Preferred Qualifications
- 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.
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This data opening is a useful opportunity for candidates whose experience matches Data Science & Analytics, Senior. Its strongest career signal is the scope of the work itself — particularly Build and maintain batch and streaming data pipelines using Python, SQL, Kafka, and Spark. — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground Data Science & Analytics, Senior, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.