QA (Scraping / Data Quality)

We are looking for a structured and detail-oriented QA to ensure stability, accuracy, and performance in the scraping infrastructure behind our international SaaS platform.
 

This is a fully remote role with direct impact on product quality and reliability. You will work closely with the Spider/Scraper Team Lead and developers to ensure that our data pipelines deliver accurate, consistent, and high-quality outputs across multiple markets.
 

Responsibilities

• Test and validate scraping outputs across different markets
• Identify inconsistencies, bugs, and data quality issues
• Collaborate closely with developers and technical leadership
• Establish and maintain structured QA processes and documentation
• Monitor data accuracy and proactively flag anomalies
• Improve workflows and reduce recurring quality issues
   

You will play a key role in maintaining the integrity of our data systems.
 

Qualifications

• Experience in QA, software testing, or data validation
• Experience working with scraping systems or data-heavy environments (preferred)
• Strong analytical and structured mindset
• Comfortable working with large datasets
• Fluent in English (written and spoken)
• Strong communication skills in a remote environment
   

Preferred qualifications:

• Basic understanding of Python
• Experience with automation testing
• Experience working in SaaS or technology companies
   

We are looking for someone proactive, detail-oriented, and capable of independently identifying risks and improvement opportunities.

Work Setup

• Fully remote position
• Contract / Freelance
• Time zone overlap with Europe required
   

What We Offer

• Work on a mission-critical SaaS platform with international reach
• Direct collaboration with technical leadership
• Real ownership over quality standards and processes
• Flat structure and fast decision-making
• Competitive compensation based on experience
   

Application

To apply, please send:

• CV 
• A brief description of QA systems or environments you have worked with
• Examples of how you have improved quality, reduced errors, or implemented QA processes