Senior Data Engineer
Senior Data Engineer at Zurich Insurance's Technology Delivery Center in Barcelona (hybrid), building data and AI products for Retail Claims, Pricing and Underwriting. Day to day: ETL/ELT pipelines with Spark/Databricks on AWS/Azure, MLOps and CI/CD, cloud microservices, and LLM-powered features like RAG and agentic workflows.
- Compensation
- Not disclosed
- Location
- Barcelona, Spain
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Full time
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 5-10 years of advanced Python building production-grade data and backend solutions
- 5 years of cloud engineering on AWS or Azure, preferably data-intensive
- 5-10 years of experience with Databricks
- 5 years of CI/CD & DevOps designing multi-cloud pipelines and automated deployments
- 5 years designing, implementing and operating distributed microservices and APIs
- 2 years integrating LLMs/agentic AI (OpenAI, Anthropic, AI agents, MCP) into real applications
- 2 years building and operating APIs and end-to-end backend services
- Hands-on with Docker, Kubernetes (or similar), Git (or similar), Spark
- Experience with Azure DevOps or Jenkins and MLOps practices
Nice to have
- Previous experience in insurance, financial services or other highly regulated industries
- Exposure to Claims, Pricing or Underwriting domains and their data
Full description
We Are Waiting for YouHi there!I am Laura, the recruiter for this position. No deje pasar esta oportunidad, inscríbase rápidamente si su experiencia y habilidades coinciden con lo que se indica en la siguiente descripción. 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.
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.