Ingeniero de Datos Sénior

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 and operating APIs and end‑to‑end backend services.

• Nice to have: Previous experience in insurance, financial services or other highly regulated industries. Exposure to Claims, Pricing or Underwriting domains and their data.

As well as a competitive salary and a yearly bonus, we offer:

• To support your work-life balance, we have adopted a flexible working model.
• Option to work abroad up to 25 days yearly.
• 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 on the needs.
• Ticket restaurant and Health Insurance with the flexibility to exchange it for other benefits.
• Life and accident insurance.
• Collective Life retirement Plan
• 2000 referral bonus if you bring other talented people like you to the company.
• Special banking and insurance conditions plus Exclusive Employees discounts
• Functional diversity benefits
• Stock options and mortgage benefits.

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.

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.

Barcelona, Poblenou.

We Are Waiting for You.

Can you see yourself in this role? Don't wait any longer! Apply by sending your CV in English.

If not, no worries! We'll meet again in the future. Feel free to share my contact details with anyone you think would be a great fit.

At Zurich, we are an equal opportunity employer. We attract and retain the best-qualified individuals available, regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability.

Zurich Technology Delivery Center - Your Talent, Our Strength