Quality Assurance Engineer

TL;DR

Quality Assurance Engineer (Data Solutions): Develop comprehensive test plans, cases, and automated scripts based on project requirements with an accent on ETL processes, data correctness, and performance under various conditions. Focus on executing regression testing, defect tracking, collaborating with stakeholders, and continuous improvement of QA methodologies.

Location: Poland (remote or office option)

Company

Established IT company since 2008 with 1500+ talents across 7 global sites, focusing on data solutions and top-tier engineering.

What you will do

• Develop test plans and strategies with stakeholders, create detailed test cases for scenarios, edge cases, and workflows.
• Execute automated tests, regression testing, and performance testing to identify defects and bottlenecks.
• Build and maintain automation frameworks and scripts using tools like Python and pytest.
• Log, track, and resolve defects in collaboration with developers and product managers.
• Document testing processes and contribute to QA process improvements.

Requirements

• At least 4 years of QA experience.
• Experience with SQL, databases, and ETL.
• Experience with test automation tools (Jira, TestLink, Azure DevOps Test Plans, Postman, SoapUI).
• Experience with Git; familiarity with AI toolsets.
• English at least B2.
• Strong analytical skills, attention to detail, effective communication.

Nice to have

• Azure, Databricks, AWS, Fabric.
• Automatic testing with Python, pytest.
• QA experience with Data Solutions and ETL concepts.

Culture & Benefits

• "Office as an option" with remote work or office choice, plus workation policy.
• Flexible hours and contract forms, comprehensive onboarding with buddy support.
• Unlimited Udemy access, certificate programs, upskilling (500+ certs yearly), knowledge sharing.
• Diverse inclusive community, internal promotions (76% managers), well-being activities.
• Modern equipment, charity opportunities, Great Place to Work certified.