Remote-Ready Data QA Engineer: AI-Driven Data Quality & Validation

Jobgether; Ireland; Remoto; EUR 65.000 - 90.000; Tempo pieno

Vantaggi offerti da questo lavoro

35 days holidays

Flexible work location

Global multicultural team

Open source technologies

Autonomy and ownership

Collaborative environment

Descrizione del lavoro

Jobgether, Ireland-based, seeks a Data QA Engineer to ensure data accuracy for web data extraction and AI-assisted solutions. You’ll translate requirements into QA criteria, combine exploratory testing with automation, and communicate results through reports and dashboards.

You’ll work with a globally distributed team, own testing processes, and have flexibility in how you work. Strong Python, SQL, and data quality know-how are essential, as is clear English communication.

Competenze

• At least 5 years of experience as a QA Engineer or in a data testing/QA role.
• Proficiency in Python for data analysis and validation (Pandas/Jupyter preferred).
• SQL skills to query and validate data in relational databases.
• Strong understanding of HTML, XPath, JSON, HTTP, and CSS.
• Experience testing HTTP/REST APIs and validating responses against requirements.
• Knowledge of test design, test data management, and exploratory/automated testing.
• Understanding of data quality principles and data drift.
• Experience in Agile environments and collaboration with developers.
• Familiarity with AI/LLM tools to improve test generation.
• Proactive, detail-oriented mindset with ownership of project quality.

Mansioni

• Translate customer data extraction and web scraping requirements into clear, testable criteria and QA strategies.
• Perform exploratory, manual, and visual testing, with automation where valuable.
• Execute test cycles on extracted datasets to validate compliance with specs.
• Document defects with reproducible steps and evidence for efficient debugging.
• Apply statistics and visualizations to assess completeness, accuracy, and drift.
• Prepare quality reports and scoring metrics for internal teams and customers.
• Identify untested scope and risks to support project decisions.
• Collaborate with managers and customers to clarify ambiguous requirements.
• Contribute to test automation frameworks focusing on coverage and reliability.
• Suggest improvements to QA processes and tooling (extensions, add-ons, UI testing).
• Work independently while coordinating with QA leadership and developers.

Conoscenze

Python

Data testing

SQL

HTML

XPath

JSON

HTTP

CSS

API testing

Test design

Agile

AI/LLM tools

Data quality

Strumenti

Scrapy

Descrizione del lavoro

Jobgether, Ireland-based, seeks a Data QA Engineer to ensure data accuracy for web data extraction and AI-assisted solutions. You’ll translate requirements into QA criteria, combine exploratory testing with automation, and communicate results through reports and dashboards.

You’ll work with a globally distributed team, own testing processes, and have flexibility in how you work. Strong Python, SQL, and data quality know-how are essential, as is clear English communication.