
Noesis
BI Quality Tester (Nationwide)
Lisbon
February 11, 2026
Full-time
Noesis is looking for the following profile:
Main Tasks and Responsibilities:
- Create and execute test cases (functional, BI, end-to-end, integration, and regression);
- Identify, report, and follow up on defect corrections;
- Conduct tests in BI environments (ETL, dashboards, and reports);
- Develop and manage SQL queries for data and process validation;
- Participate in meetings with multidisciplinary teams and contribute to delivering high-quality solutions;
- Manage priorities and deadlines efficiently;
- Prepare detailed reports and document test results.
Requirements:
- At least 3 years of experience in QA, focusing on BI projects;
- Autonomy in creating and executing tests, as well as managing defects;
- Mastery of ETL concepts and BI tools such as PowerBI, Tableau, MicroStrategy, or QLIK;
- Proven experience and solid knowledge in SQL;
- Skills in planning, organization, and communication;
- Knowledge of tools like Jira and Confluence;
- Advanced English (written and spoken);
- Highly developed communication soft skills;
- Degree in Computer Science, Software Engineering, or related fields;
- Proven experience with functional testing.
Preferred:
- Experience in agile environments and collaboration with multidisciplinary teams;
- Experience in preparing detailed test reports and documentation;
- Solid knowledge of backend testing (SQL);
- Practical experience in API testing with tools like SoapUI or Postman;
- Experience in projects in the aviation sector;
- Certification in software quality (e.g., ISTQB);
- Experience in international and multicultural projects;
Work regime: hybrid (1-2 times per week) in one of our offices - Lisbon, Porto, Coimbra, Guarda, Covilhã, Castelo Branco
If you meet these conditions and would like to join an innovative organization that continuously invests in training its talents, send us your application.
Join us. Let’s innovate together!
All our recruitment and selection processes are based on equal opportunity, valuing the competence and potential of each person and ensuring that no candidate is discriminated against based on gender, ethnicity, sexual orientation, age, religion, or physical condition.