Ai Data Engineer

**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 off 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?**

As an AI Data Engineer, you’ll sit at the intersection of data, artificial intelligence, and automation—architecting intelligent systems that power the future of our operations. You’ll design and build scalable data models, engineer robust analytics pipelines, and develop next-generation agentic workflows that leverage cutting-edge AI. Your work will directly enable smarter decision-making, automate high-effort processes, and unlock the full potential of Conversational AI across the organization.

This isn’t just about moving data—it’s about transforming raw interactions into intelligent action.

And you might be thinking: This is great, what will my day-to-day be like, at TDC? I’m glad you asked.

**As an AI Data Engineer you will have the opportunity to**:

- Design & implement end-to-end data architectures, from ingestion and transformation to serving layer, for analytics, AI, and automation use cases.
- Build and optimize production-grade data models that support real-time and batch analytics, with a focus on scalability, reliability, and performance.
- Engineer data pipelines for Conversational AI and Automation, ensuring high-quality, structured data flows from events, chat logs, user interactions, and feedback loops.
- Supporting accumulation management modelers
- **Work** alongside experts in various technological domains.
- **Enhance** your skills with real-world experience
- **Contribute** to a team that values your input and creativity.

**Why This Role Matters**

You won’t just build pipelines—you’ll build the intelligence layer that powers how our teams work, decide, and innovate. If you’re excited by the challenge of turning chaotic, real-world data into autonomous, insight-generating systems, this is your opportunity to shape the future of AI-driven operations.

Ready to engineer intelligence?

**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**

**As an AI Data Engineer, your skills and qualifications will ideally include**:

- 4-8 years of hands-on experience in data engineering, AI/ML engineering, or applied data science with strong software engineering discipline.
- Expert-level Python—you write clean, maintainable, production-ready code (not just Jupyter notebooks).
- Advanced SQL and deep familiarity with modern data stack tools: dbt, Snowflake, Databricks, BigQuery, or similar. Strong ability to scope ambiguity, drive projects from 0
- 1, and iterate based on real-world feedback.
- Passion for the AI frontier—you actively explore new research, tools, and architectures, and aren’t afraid to challenge the status quo.

**Nice-to-Have**
- Developed agentic AI systems using modern frameworks (e.g., LangChain, LlamaIndex, AutoGen) to automate complex workflows.
- Hands-on experience with NLP, large language models (LLMs), vector databases, and the modern AI stack (e.g., LangChain, LlamaIndex, Pinecone, Langfuse).
- Familiarity with MLOps practices, model monitoring, and prompt engineering.
- Full-stack development experience (e.g., React, FastAPI) for building internal AI tools.

**AndWhat Makes Us Special?**

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