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the recruiter for this position. Nice to meet you!

• First, a little bit about what I like the most about working at: The environment here is incredibly collaborative and innovative. Our tech-driven mindset fosters continuous learning and growth, creating an atmosphere where everyone can thrive. Now, I can't wait to share this exciting journey with you at !
• Let me introduce us. You’re reading about , a global leader in insurance, but this role specifically pertains to our Established in Barcelona in 2006, the TDC operates as an integral part of Zurich Insurance Group, providing cutting-edge technological solutions and support to Zurich's local and global 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. In this team you will:

Work with high

• impact use cases: from smarter pricing models and straight
• through underwriting to faster, fairer claims decisions
• 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
• creating solutions that change how we do insurance
• Design and build end

Architect scalable, secure and observable data pipelines and services, from ingestion to production, following modern SDLC best practices

performance ETL/ELT in AWS or Azure, leveraging Spark / (batch and real

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
• Translate Claims, Pricing and UW requirements into robust technical architectures, influencing design decisions and ensuring our solutions are both feasible and valuable
• Design and implement AI products based on LLMs, including prompt engineering, fine
• tuning, retrieval
• augmented generation (RAG) and agentic workflows that augment how our business teams work

What Makes You a great Fit?

• While we’re not seeking perfection or expecting you to save the world, we believe that if you meet some of these requirements, you’ll be a fantastic fit for our team
• Advanced Python, Databricks, AWS, Docker, Kubernetes or similar, Git or similar, LLMs, Spark, Azure DevOps or Jenkins
• grade data and backend solutions
• 5 years on AWS or Azure, preferably in data
• 5-10 years experienced in working with this Cloud based data and AI platform
• CI/CD & DevOps
• 5 years designing multi