Overview
Cualquier información adicional que necesite para este trabajo se encuentra en el texto a continuación. Asegúrese de leerla detenidamente y luego envíe su solicitud.
In this Data Engineer role, you’ll build scalable, secure data pipelines and analytics capabilities within Zurich’s Technology Delivery Center. You will work on cloud-based ETL, real-time data processing, and ML/AI-driven products, aligning architecture with business needs. The position offers collaboration across teams, exposure to modern MLops practices, and opportunities to influence data-driven decisions at a global insurer. This is a hands-on role at the intersection of data, cloud, and AI, with a strong impact on operational efficiency and innovation.
Compensaciones / Incentivos
flexible working model
ability to work abroad up to 25 days yearly
home office setup allowance
training programs including English, German and Spanish
health insurance
life and accident insurance
Responsabilidades
Architect and develop end-to-end scalable and secure data processes




ETL data processing in AWS or cloud environments with Spark or Databricks (batch or real-time)
MLEOPS and CI/CD: implement pipelines using Azure DevOps, Jenkins, etc.
Develop microservices deployed in cloud environments
Deploy with Docker, Kubernetes or similar technologies
Define industrialisation and operational strategies for MLOps models
Align business needs with technical requirements and architecture
AI: develop products based on LLMs and fine-tuning techniques
Requisitos principales
Python: 5 years of experience xqbhyrx
Cloud Engineering: 4 years (AWS, GCP, Azure)
CI/CD & DevOps: 3 years building multi-cloud pipelines and automated deployments
Microservices: 2 years designing and deploying distributed services
Agentic AI / LLMs: 2 years integrating OpenAI, Anthropic, AI agents and MCP servers
Backend Engineering: 2 years building APIs and end-to-end backend solutions
collaborative mindset
strong communication
problem-solving orientation
Advanced Python
AWS
Docker

📌 Data Engineer (Barcelona)
🏢 Jobrapido
📍 Barcelona