Data QA Engineer — AI-Driven Data Quality (Remote)

Jobgether; España; Remoto; EUR 50.000 - 75.000; Tempo pieno

Vantaggi offerti da questo lavoro

35 days holidays

Flexible, location-independent working

Global, multicultural team

Open-source tech stack

Autonomy and ownership

Collaborative environment

Descrizione del lavoro

Jobgether is seeking a Data QA Engineer based in Spain to ensure data accuracy, completeness, and reliability across web data extraction and AI-assisted projects. You will translate customer requirements into clear QA standards, perform exploratory and automated testing, and report findings with actionable insights.

You will collaborate with project managers, developers, and clients while improving testing processes and reducing data defects in a globally distributed team.

Competenze

• 5+ years of experience as a QA Engineer or similar data testing role.
• Proficiency in Python for data analysis and validation (Pandas/Jupyter).
• SQL skills to query and validate data in relational databases.
• Knowledge of web technologies: HTML, XPath, JSON, HTTP, CSS.
• Experience testing HTTP/REST APIs and validating responses.
• Strong test case design, data management, and automation testing basics.
• Understanding of data quality: completeness, accuracy, data drift.
• Experience in Agile environments (Scrum/Kanban).
• Familiarity with AI/LLM tools to improve test generation.
• Proactive, detail-oriented mindset with ownership.
• Ability to learn new technologies and adapt testing strategies.
• Strong written and spoken English communication.

Mansioni

• Translate customer data extraction and web scraping requirements into clear, testable QA criteria and strategies.
• Perform exploratory, manual, and visual testing, complemented by automated testing where valuable.
• Execute test cycles on extracted datasets to validate against customer specs and identify defects.
• Document defects with reproducible steps and evidence for efficient debugging.
• Apply descriptive statistics and visualizations to assess completeness, accuracy, consistency, and data drift.
• Prepare quality reports and scoring metrics communicated to internal teams and customers.
• Clearly define testing scope, untested areas, and associated risks for project decisions.
• Collaborate with project managers and customers to clarify requirements and ensure measurability.
• Contribute to test automation framework development with emphasis on coverage and reliability.
• Propose and implement QA process/tooling improvements including UI testing tools.
• Work independently while aligning with QA leadership and developers to uphold standards.

Conoscenze

Python for data analysis

Pandas

SQL

HTML/XPath/JSON/HTTP/CSS

REST API testing

Test design & data management

Data quality principles

Agile/Scrum/Kanban

AI/LLM test generation

English communication

Data visualization

Strumenti

Pandas

Jupyter notebooks

Descrizione del lavoro

Jobgether is seeking a Data QA Engineer based in Spain to ensure data accuracy, completeness, and reliability across web data extraction and AI-assisted projects. You will translate customer requirements into clear QA standards, perform exploratory and automated testing, and report findings with actionable insights.

You will collaborate with project managers, developers, and clients while improving testing processes and reducing data defects in a globally distributed team.