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# Data Engineer

- **Company:** Zurich Insurance
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Continuous Integration, Extract Transform Load (ETL), Data Security, DevOps, Python (Programming Language), Machine Learning, Systems Integration, Working Model 2D, Data Processing, Google Cloud, Cloud Platform System, Docker for Aws, Large Language Models, Apache Spark, Multi-Cloud, Backend, Kubernetes, Deployment Automation, Data Analytics, Machine Learning Operations, Virtual Agents, Api Design, Stream Processing, Docker, Jenkins, Databricks, Microservices
- **Published:** September 17, 2026
- **Apply:** https://www.buscojobs.com.es/data-engineer-en-barcelona-ID-372305796

## About the Role

Requisitos principalesPython: 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

## Description

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 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 / Beneficiosflexible working modelability to work abroad up to 25 days yearlyhome office setup allowancetraining programs including English, German and Spanishhealth insurancelife and accident insuranceResponsabilidadesArchitect and develop end-to-end scalable and secure data processesETL 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 environmentsDeploy with Docker, Kubernetes or similar technologiesDefine industrialisation and operational strategies for MLOps modelsAlign business needs with technical requirements and architectureAI: develop products based on LLMs and fine-tuning techniquesRequisitos principalesPython: 5 years of experienceCloud Engineering: 4 years (AWS, GCP, Azure)CI/CD & DevOps: 3 years building multi-cloud pipelines and automated deploymentsMicroservices: 2 years designing and deploying distributed servicesAgentic AI / LLMs: 2 years integrating OpenAI, Anthropic, AI agents and MCP serversBackend Engineering: 2 years building APIs and end-to-end backend solutionscollaborative mindsetstrong communicationproblem-solving orientationAdvanced PythonAWSDocker


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