Azure Data Engineer

Our opportunity

Azure Data Engineer

We are strengthening our capability to bring data science solutions into production faster and with higher quality. This role bridges the gap between data science and data/platform engineering by taking prototypes and turning them into scalable, governed solutions. This is not a pure data engineering role.

Your role

As an Azure Data Engineer, your main responsibilities will involve: 

• Design and implement dimensional data models and data structures to support reporting, analytics and risk accumulation use cases.
• Build and maintain data ingestion and transformation pipelines (ETL / ELT) on Azure Databricks, using Python, SQL.
• Migrate and integrate data from legacy systems into a modern Azure-based data platform (e.g. Databricks, Delta Lake, Azure Storage).
• Implement CI/CD pipelines for data workflows using Git and Databricks Asset Bundles, ensuring repeatable and governed deployments.
• Optimize data pipelines and queries for performance, scalability and cost efficiency.
• Ensure data quality, including validation checks, monitoring and handling of data issues.
• Apply data governance, security and access controls in line with Zurich standards.
• Collaborate closely with data scientists and other stakeholders to provide well-structured, reliable data for models and analytics.
• Contribute to the operation and improvement of Databricks jobs, workflows and environments.
• Creation and maintenance of PowerBI dashboards.

Your Skills and Experience

As an Azure Data Engineer, your skills and experience will ideally include:

• Proven experience in data engineering roles.
• Strong hands-on skills in Python and SQL.
• Practical experience with Azure Databricks or PySpark and Delta Lake.
• Solid understanding of data (i.e. dimensional) modelling, performance optimisation and data quality.
• Experience deploying data solutions into production environments, including CI/CD using Git and Databricks Asset Bundles (or similar tooling).
• Familiarity with Azure – DevOps, Management, Settings.
  
  

Nice to have

• Experience with MLOps concepts (e.g. integrating data pipelines with model workflows).
• Experience with APIs or near real-time data solutions.
• Background in insurance or other regulated environments.
• Experience with PowerBI or similar (Tableau) BI tool.

We offer

Compensation for roles at Zurich depends on a wide array of factors including but not limited to the specific role, skill set, level of experience, and subject to applicable law. Zurich thus provides a range of compensation aligned to internal job architecture and market benchmarks to ensure fair and consistent pay for comparable roles. The starting base salary range for this position is 2930 EUR.

Working time benefits

Personal days off, Concentrated work week, Additional vacation, Home office, Extra days off at occasion of childbirth, Sabbatical leave, Workation

Monetary benefits

Life insurance from Zurich Austria, Compensation for salary loss during sick leave, 3rd pension pillar contribution, Risk Life Insurance, Meal contribution on top of the legally required minimum, Years of service bonus, Wedding bonus, Baby bonus

Other benefits

Electronic cafeteria, Maternity leave benefits, Massages in the office

Learning/Development

Professional Certifications, Online Education Portals, Extensive Onboarding program, Strengths based culture (GALLUP)

• Location: Bratislava
• Schedule: full-time
• Form: hybrid - occasional home office possible

About us

At our company, we recognize the importance of fostering an open-minded, safe and inclusive environment for everyone. We stand with diversity and respect different backgrounds and lifestyles. That's why we've implemented numerous initiatives to ensure our employees feel comfortable, accepted, and respected at all times.