Remote Data QA Engineer: Quality, Automation & Data Testing

Jobgether; France; Remote; EUR 60,000 - 80,000; Full time

Benefits offered by this job

35 days paid holidays

Flexible, location-independent working

Global, multicultural team

Open-source tech stack

Job summary

Jobgether is seeking a Data QA Engineer in France to ensure data accuracy, completeness, and reliability across web data extraction and AI-assisted projects. You will translate customer requirements into measurable quality criteria, perform exploratory and automated testing, and communicate results via reports and dashboards.

You will collaborate with project managers, developers, and clients, using Python, SQL, and modern testing tools to improve QA processes and strengthen data validation

Qualifications

• Proficiency in Python for data analysis and validation (Pandas/Jupyter).
• SQL skills to query/validate data in relational DBs.
• Strong data quality fundamentals: completeness, accuracy, drift.

Responsibilities

• Translate data extraction requirements into clear QA criteria and strategies.
• Perform manual, exploratory, and automated testing where valuable.
• Validate datasets against customer specs and identify defects.
• Document defects with reproducible steps and evidence for developers.
• Create quality metrics and visualizations to report results.
• Collaborate with managers, developers, and clients to define measurable QA plans.
• Contribute to test automation frameworks for coverage, reliability, and performance.
• Suggest improvements to QA processes and tooling.

Skills

Python

SQL

Pandas

Jupyter notebooks

Data quality

REST APIs

HTML/XPath/JSON/HTTP/CSS

Agile

AI/LMM testing

Tools

Scrapy

Test automation

Job description

Jobgether is seeking a Data QA Engineer in France to ensure data accuracy, completeness, and reliability across web data extraction and AI-assisted projects. You will translate customer requirements into measurable quality criteria, perform exploratory and automated testing, and communicate results via reports and dashboards.

You will collaborate with project managers, developers, and clients, using Python, SQL, and modern testing tools to improve QA processes and strengthen data validation