Data Engineer (Databricks, Python, Spark) - Zurich Insurance Group

Overview

Por favor, presente su candidatura sin demora si su perfil encaja bien con este puesto, debido al alto nivel de interés.

In this Data Engineer role within Investment Management, you will design and maintain a cloud-based data hub and pipelines that enable large-scale analytics for investment teams. You’ll work with a global, collaborative group and continuously learn to apply the latest data engineering and AI concepts. Your contributions will unlock value from financial data sources like Bloomberg and support cross-functional investment stakeholders. This is a hands-on, growth-oriented opportunity to shape a key platform in a tech-driven environment.

Compensaciones / Beneficios

• flexible working model
• home office setup allowance
• training (languages)
• health insurance
• life and accident insurance
• stock options

Responsabilidades

• Design, develop, enhance, and maintain complex data pipelines for business-critical operations and analytics
• Support internal Investment Management clients and address their needs
• Improve platform capabilities and influence technology choices and standards
• Stay current with evolving data engineering and AI technologies and share knowledge with the team
• Collaborate with experts across domains to deliver real-world data solutions
• Contribute to a culture of continuous learning and creative input

Requisitos principales

• 3+ years of Data Engineering experience with 2+ years designing and building Databricks data pipelines
• Azure cloud experience preferred (AWS/GCP also considered)
• 2+ years Python/PySpark/SparkSQL and/or Scala
• 2+ years Big Data pipelines or DAG tools (Data Factory, Airflow, dbt)
• 2+ years Spark experience (Databricks xkdbapo Spark and Delta Lake)
• 2+ years implementing Big Data solutions in a cloud ecosystem (Data/Delta Lakes)
• 2+ years SQL with complex queries
• Experience with GitHub and CI/CD pipelines (desirable)
• Experience with financial data providers such as Bloomberg (desirable)
• Experience with AI/LLMs, Databricks Genie or similar tools
• Proficiency in English
• Positive attitude and can-do mentality

• positive attitude
• can-do mentality
• collaboration
• Databricks
• Python
• PySpark