Experteer OverviewIn 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 pensaciones / Beneficios -

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 Dev Ops, 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 techniquesResponsabilidades -

Python: 5 years of experience -

Cloud Engineering: 4 years (AWS, GCP, Azure) -

CI/CD u0026 Dev Ops: 3 years building multi-cloud pipelines and automated deployments -

Microservices: 2 years designing and deploying distributed services -

Agentic AI / LLMs: 2 years integrating Open AI, Anthropic, AI agents and MCP servers -

Backend Engineering: 2 years building APIs and end-to-end backend solutions

📌 Data Engineer (Barcelona)
🏢 Zurich Insurance Group
📍 Barcelona