Senior Data Engineer

Zurich Insurance Group; Barcelona; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Flexible working model

Home office allowance

Training programs (English, German,/or

Spanish classes

Referral bonuses

Job summary

Zurich Insurance Group is seeking a Senior Data Engineer to join our Barcelona Tech Delivery Center. You will design and operate data and AI solutions, building scalable pipelines in cloud environments and enabling production ML workloads.

You will collaborate with data scientists, actuaries, and product owners to translate business needs into robust architectures, leverage LLMs, and deliver measurable impact for our customers. Hybrid Barcelona-based role.

Qualifications

• 5–10+ years building production‑grade data and backend solutions.
• Experience with cloud data platforms and ML pipelines.
• Strong knowledge of Python and modern data stack.

Responsibilities

• Design and implement end‑to‑end data and AI solutions in cloud environments.
• Build scalable data pipelines with AWS/Azure and Databricks.
• Develop and maintain CI/CD pipelines for ML products.
• Collaborate with data scientists and architects to translate business needs into technical design.

Skills

Advanced Python

Databricks

AWS

Docker

Kubernetes

Git

LLMs

Spark

Azure DevOps / Jenkins

Tools

Databricks

AWS

Azure

Jenkins

CI/CD tooling

OpenAI integration

Job 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.
• 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?

Core technologies: Advanced Python, Databricks, AWS, Docker, Kubernetes or similar, Git or similar, LLMs, Spark, Azure DevOps or JenkinsPython: 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 platformCI/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.

And… What 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 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.

Where Are We Located?

Barcelona, Poblenou.

Location

Location(s): ES - Barcelona Remote working: Hybrid Schedule: Full Time

Equal Opportunity

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! xiphteb Join us as we constantly explore new ways to protect our customers and the planet.