AI Data Engineer
Role details
Job location
Tech stack
Job description
- 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?
Requirements
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4-8 years of hands-on experience in data engineering, AI/ML engineering, or applied data science with strong software engineering discipline.
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Expert-level Python-you write clean, maintainable, production-ready code (not just Jupyter notebooks).
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Advanced SQL and deep familiarity with modern data stack tools: dbt, Snowflake, Databricks, BigQuery, or similar.
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Strong ability to scope ambiguity, drive projects from 0*1, and iterate based on real-world feedback.
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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
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Developed agentic AI systems using modern frameworks (e.g., LangChain, LlamaIndex, AutoGen) to automate complex workflows.
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Hands-on experience with NLP, large language models (LLMs), vector databases, and the modern AI stack (e.g., LangChain, LlamaIndex, Pinecone, Langfuse).
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Familiarity with MLOps practices, model monitoring, and prompt engineering.
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Full-stack development experience (e.g., React, FastAPI) for building internal AI tools.
Benefits & conditions
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 ontheneeds.
- 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. Where Are We Located? Barcelona, Poblenou. #Li-hybrid We Are Waiting for You. 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 Why Zurich At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right? We are an equal opportunity employer who knows that each employee is unique - that's what makes our team so great!