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 integral 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 / Beneficios 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