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Keyrus Portugal is hiring a Data Engineer in Lisbon, hybrid, for a full-time employee role starting September 2026. The position offers a salary range of 28,000 to 32,000 EUR gross per year.
You will design, develop, and maintain data pipelines and ETL processes to support analytics, reporting and business applications across the data lifecycle. You will work with SQL, SSIS and various data sources, building scalable data integrations and data models.
Salary : €28,000 - 32,000 yearly
Empresa : Keyrus Portugal Tipo de Emprego : Periodo Integral Lisbon, Portugal
Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.
For more than 30 years, we have been building the data foundations that make intelligent systems work - designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.
AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating.
At Keyrus, you will not just develop skills - you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last.
Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.
Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.
Job location: Lisbon, Hybrid.
Contract type: Employee
Target start date: September 2026
Working hours: Full-time
Compensation: 28k to 32k gross per year
As a Data Engineer, you will be responsible for developing, maintaining and improving data integration and transformation solutions that support analytics, reporting and business applications.
You will work across the data lifecycle, from extracting and integrating information from different sources to transforming, modelling and making data available for downstream consumption.