Senior Data Engineer

Select how often (in days) to receive an alert: 137673 We Are Waiting for You Hi there I am Laura, the recruiter for this position. Nice to meet you First, a little bit about what I like the most about working at Zurich Technology Delivery Center: 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 Zurich First of all, THANK YOU for considering our company. We understand that finding the right opportunity can be tough, but I’ll try to make it easier. Who Are We? Let me introduce us. 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 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. What Can You Expect? 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: Turn complex business questions from Claims, Pricing and UW into robust data and AI products. 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. And you might be thinking: This sounds great, but what will my day ‑ to ‑ day look like at TDC? 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: Implement high ‑ 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 ‑ native microservices: Design and implement microservices and APIs that expose data and AI capabilities, deployed in secure, resilient cloud environments. Define MLOps industrialisation strategies: Shape how we productionise models: versioning, feature stores, monitoring, drift detection, and model lifecycle management, in close collaboration with Data Science and Architecture teams. Bridge business and technology: Translate Claims, Pricing and UW requirements into robust technical architectures, influencing design decisions and ensuring our solutions are both feasible and valuable. Build AI ‑ powered products with LLMs: 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. We are waiting for you Core technologies: 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 ‑ intensive environments. 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). Microservices: 5 years designing, implementing and operating distributed services and APIs. Agentic AI / LLMs : 2 years integrating OpenAI, Anthropic, AI agents or MCP ‑ based services into real applications. Backend Engineering : 2 years building