Salário de Lean & Automation Lead: Optimize Flow & Kaizen em Portugal 2026
Quanto ganha um Lean & Automation Lead: Optimize Flow & Kaizen?
50 000 €
/ Anual
Baseado em 9 vagas
Salaries are calculated as the average of salary ranges published in job listings. Data is aggregated monthly by job position.
40 000 € Salário médio
50 000 € Máximo
60 000 €
Dados salariais atualizados: abril 2026
Salário de Lean & Automation Lead: Optimize Flow & Kaizen em Portugal
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Vacariça, Portuguese Republic, Portugal ASSA ABLOY Sicherheitstechnik GmbH Tempo integralA leading global access solutions company is looking for a Lean and Automation Manager in Águeda, Portugal. This role...
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Águeda, Portuguese Republic, Portugal ASSA ABLOY Sicherheitstechnik GmbH Tempo integralLead and implement Lean principles and automation to optimize process flow and reduce costs. Requires engineering...
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Aveiro, Portuguese Republic, Portugal ASSA ABLOY Sicherheitstechnik GmbH Tempo integralManage and improve manufacturing processes using Lean principles and automation. Requires engineering background and 5+...
Salários em Portugal {year}
| Position | Salário médio / Anual | |
|---|---|---|
| Graduate AI software engineer (Madrid) | 120 706 € | Ver vagas |
| Graduate software engineer (Madrid) | 96 761 € | Ver vagas |
| Chief Technology Officer | 90 000 € | Ver vagas |
| Frontend React Pleno: Performance, A11y e Design System | 90 000 € | Ver vagas |
| Head of Business Center Driver Assistance & Safety | 75 500 € | Ver vagas |
| Head of Branding | 70 000 € | Ver vagas |
| German-Speaking Customer Service&Marketing Roles-Lisbon +Accommodation' | 70 000 € | Ver vagas |
| Machine Learning Engineer | 70 000 € | Ver vagas |
| Data Architect | 70 000 € | Ver vagas |
| Data Solutions Architect | 70 000 € | Ver vagas |
FAQ - Lean & Automation Lead: Optimize Flow & Kaizen
Dados atualizados: abril 2026
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Methodology
Salary data is calculated from compensation ranges published in active job listings in Portugal. Job postings that include salary information are analyzed to obtain minimum, average and maximum values by position. Data is updated monthly and reflects listings from the last 90 days. Sample size for this position: 9 job postings with salary.