Experteer Overview
Obtenga más información sobre las tareas generales relacionadas con esta oportunidad a continuación, así como sobre las habilidades requeridas.
In this role you will shape Roche’s data foundations by building scalable data pipelines and AI-ready data solutions. You’ll own core data systems, drive architecture for reliable pipelines, and lead modernization efforts to ensure high availability. You collaborate with cross-functional teams to align data strategy with business goals, delivering impactful data products that power the company’s data and AI journey.
Compensaciones / Ventajas
• Architect and optimize scalable data pipelines and ETL/ELT frameworks
• Maintain and evolve complex data infrastructure
• Collaborate with cross-functional stakeholders to define data strategy
• Lead strategic, high-impact data initiatives and drive technical innovation
• Manage high-volume datasets and ensure data system resilience and performance
• Demonstrate mastery of SQL,



Linux, and ETL tools, leveraging cloud-native services and AI-driven platforms
Responsabilidades
• Bachelor in Computer Science or equivalent
• Experience with Windows Server, RHEL, VMware vSphere/Nutanix Acropolis, backup/recovery systems, and relational and non-relational databases
• Proven track record delivering complex technical tasks
• Knowledge of Agile (SAFe) xqbhyrx and continuous improvement is a plus
• Proficiency in English; Spanish is a plus
• Knowledge of cloud platforms (AWS, Azure, GCP)
• Basic SQL, Linux, and ETL tools (Talend, Apache Airflow, PySpark); required Python
• Familiarity with Docker; reporting tools like Tableau, Power BI, ThoughtSpot; data warehousing concepts
• Software Development Life Cycle best practices
Requisitos principales
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📌 Data Engineer - RHE - Data and Platform Engineer (Madrid)
🏢 Roche
📍 Madrid