SAP Quality Engineer (All Locations)

Noesis; Lisboa; Híbrido; EUR 42 000 - 63 000; Tempo integral

Resumo da oferta

Noesis is seeking QA professionals to lead SAP functional testing, focusing on S/4 HANA and Tosca automation. The role involves creating and executing test cases, maintaining test data, and reporting on testing progress from Lisbon, Porto, or other offices under a hybrid model.

Fluent English is required, with emphasis on delivering quality metrics and collaborating across SAP logistics domains such as MM/SD/WM/EWM/TM.

Qualificações

• Strong SAP functional testing experience (S/4 HANA preferred).
• Hands-on Tosca automation for SAP test cases (build/maintenance/execution).
• Experience testing SAP processes in the logistics domain (MM/SD/WM/EWM/TM).
• Fluent English level.

Responsabilidades

• Prepare test cases and test data.
• Execute test cases and test data.
• Automation testing using Tricentis Tosca.
• Meet organisational testing metrics such as productivity and defect removal efficiency.
• Prepare test status reports.

Conhecimentos

SAP testing

Tosca automation

Logistics SAP processes

Test data & cases

English fluency

Ferramentas

Tricentis Tosca

Descrição da oferta de emprego

Main Tasks And Responsibilities

Noesis is looking for candidates with the following profile:

• Prepare test cases and test data
• Execute test cases and test data
• Automation testing using Tricentis Tosca
• Meet organisational testing metrics such as productivity and defect removal efficiency
• Prepare test status reports.

Requirements

• Strong SAP functional testing experience (S/4 HANA preferred)
• Hands - on Tosca automation for SAP test cases (build / maintenance / execution)
• Experience testing SAP processes in the logistics domain ( MM / SD / WM / EWM / TM ) - note: SAP knowledge is more important than deep logistics expertise
• Fluent English level.

Location: One of our offices - Lisbon, Oporto, Coimbra, Guarda, Covilhã

Hybrid working model

Join us. Let's innovate together!

All our recruitment and selection processes are based on equal opportunities, valuing the competence and potential of each person and ensuring that no candidate is discriminated on the grounds of gender, ethnicity, sexual orientation, age, religion or physical condition.