Overview 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 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)
🏢 Zurich Insurance Group
📍 Barcelona