Data Engineer (Databricks, Python, Spark)

Hi there! I am Laura , the recruiter for this position. Nice to meet you!

Descubra exactamente qué habilidades, experiencia y cualificaciones necesitará para tener éxito en este puesto antes de enviar su solicitud a continuación.

First, a little bit about what I like the most about working at ServiZurich : 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 !

Let me take a wild guess: you’ve probably sifted through countless job offers today, and they all seem to blur together. Sound familiar? Well, here’s the scoop: At Zurich , we might not have all the answers (and we’re not striving for perfection!), but we’ve got something special. Curious? Keep reading!

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 ServiZurich . Established in Barcelona in 2006, ServiZurich 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 addition to our technological solutions, we excel in investment, administration, and accounting, ensuring comprehensive support for Zurich 's diverse operations.

What Can You Expect?

Career opportunity in our Investment Accounting and Administration department within Investment Management for an experienced Data Engineer in cloud based database design and architecture, data pipelines, Python , Spark using Databricks technology. Individuals in this role will assist in the design, development, enhancement, and maintenance of a complex data hub that manages key business operations. Qualified applicants will have a demonstrated capability to learn new concepts quickly, have a data engineering background, and/or have robust software engineering expertise. This role works with a global team of Investment professionals, unlocking value from our vast store of Bloomberg and other financial data. The team also supports many other investment teams with data insights and reporting. Join our dynamic team and work on a rapidly growing key platform for Investment Management.

Responsibilities

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• Work with the team to understand platform capabilities and how to best improve and expand those capabilities.
  
• Design, development, enhancement, and maintenance of complex data pipeline products which manage business‑critical operations and large‑scale analytics applications.
  
• Support internal Investment Management clients and understand their unique needs and challenges.
  
• Instill excellence into the processes, methodologies, standards, and technology choices embraced by the team.
  
• Grasp new concepts quickly to keep up with fast‑moving data engineering technology and AI.
  
• Dedicate time to continuous learning to keep the team appraised of the latest developments in the space.
  
• Work alongside experts in various technological domains.
  
• Enhance your skills with real‑world experience.
  
• Contribute to a team that values your input and creativity.
  

What Makes You a Great Fit?

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• 3+ years of Data Engineering experience including 2+ years designing and building Databricks data pipelines is required;
  Azure cloud is highly preferred, however will consider AWS, GCP or other cloud platform experience in lieu.
  
• Experience with conceptual, logical and/or physical database designs is a plus.
  
• 2+ years of hands‑on Python/Pyspark/SparkSQL and/or Scala experience is required.
  
• 2+ years of experience with Big Data pipelines or DAG Tools (Data Factory, Airflow, dbt, or similar) is required.
  
• 2+ years of Spark experience (especially Databricks Spark and Delta Lake) is required.
  
• 2+ years of hands‑on experience implementing Big Data solutions in a cloud ecosystem, including Data/Delta Lakes, is required.
  
• 2+ years of SQL experience, specifically to write complex, highly optimized queries across large volumes of data is highly desired.
  
• Experience working in a controlled environment with Github and CI/CD release pipelines is highly desired.
  
• Experience with financial data providers such as Bloomberg in an asset/investment management firm or other financial service company is highly desired but not essential.
  
• Experience with AI, LLMs, Databricks Genie or similar tools is required.
  
• Must be comfortable speaking English.
  
• A positive attitude and a ‘can do’ mentality is essential.
  

And… What Makes Us Special?

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

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• To support your work‑life balance, we have adopted a flexible working model.
  
• 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.
  
• Different social clubs such as hiking, investment, beach volley and many more.
  
• Stock options and mortgage benefits.
  

Where Are We Located?

Via Augusta, Barcelona.

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.

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

Location

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• Location(s): ES - Barcelona
  
• Remote working: Hybrid
  
• Schedule: Full Time
  
• Recruiter name: Laura Santamaría Rodríguez
  

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