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) xugodme 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