We understand that finding the right opportunity can be tough, but I'll try to make it easier. You're reading about Zurich Insurance Group , a global leader in insurance, but this role specifically pertains to our Technology Delivery Center (TDC). Established in Barcelona in ****, the TDC operates as an integral part of Zurich Insurance Group, providing cutting?edge technological solutions and support to Zurich's local and general business units. In essence, Zurich TDC is where technology meets the vast reach of a multinational company. We specialize in areas such as software development, data analytics, cybersecurity, and IT infrastructure. Our primary mission is to support Zurich's strategic goals and enhance operational efficiency through innovative technology solutions. If you're considering a role with us, know that you'll be joining a hub of technological excellence dedicated to driving Zurich's success on a global scale. You'll be joining our Retail Technology AI & Data team, the engine behind Zurich's Retail Claims, Pricing and Underwriting (UW) solutions. This is where data, AI and cloud engineering directly shape how we protect our customers every day. Turn complex business questions from Claims, Pricing and UW into robust data and AI products. See your work in action: what you build goes into production, supports real decisions, and improves our customers' experience in a measurable way. Collaborate closely with actuaries, data scientists, product owners and business SMEs – you won't be "just coding in a corner", you'll be co ? As a Senior Data Engineer you will have the opportunity to: Design and build end ? to ? end Data and AI solutions: Architect scalable, secure and observable data pipelines and services, from ingestion to production, following modern SDLC best practices. Own data processing at scale in the cloud: performance ETL/ELT in AWS or Azure, leveraging Spark / Databricks (batch and real ? time)



with a strong focus on data quality, lineage and reliability. Industrialise ML & AI with solid MLOps and CI/CD: Build and maintain CI/CD pipelines (Azure DevOps, Jenkins, etc.) for data platforms and ML products, enabling automated testing, deployment and monitoring across environments. Develop and operate cloud ? Design and implement microservices and APIs that expose data and AI capabilities, deployed in secure, resilient cloud environments. Shape how we productionise models: versioning, feature stores, monitoring, drift detection, and model lifecycle management, in close collaboration with Data Science and Architecture teams. Advanced Python, Databricks, AWS, Docker, Kubernetes or similar, Git or similar, LLMs, Spark, Azure DevOps or Jenkins Python : 5–10 years building production ? grade data and backend solutions. Cloud Engineering : 5 years on AWS or Azure, preferably in data ? Databricks : 5-10 years experienced in working with this Cloud based data and AI platform CI/CD & DevOps : 5 years designing multi ? cloud pipelines and automated deployments (infrastructure, data and ML). Backend Engineering : 2 years building and operating APIs and end ? to ? end backend services. Exposure to Claims, Pricing or Underwriting domains and their data. To support your work-life balance, we have adopted a flexible working model. Over 300 euros to set up your home office and additional monthly home office allowance. Wide range of internal and external trainings, including English, German and Spanish classes depending ontheneeds. Ticket restaurant and Health Insurance with the flexibility to exchange it for other benefits. Collective Life retirement Plan ***
* referral bonus if you bring other talented people like you to the company. Li-hybrid We Are Waiting for You. We attract and retain the best-qualified individuals available, regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability. Location(s): ES
- Barcelona Schedule: Full Time #J-*-Ljbffr

📌 Senior Engineer, Data Engineering (España)
🏢 Zurich Insurance
📍 España