Swiss Re

[Applicants: Be among the first 25 applicants | Industry: Insurance | Type: Full-time | Level: Not Applicable] Are you a technology fan and impressed by aircrafts and ships or are you fascinated by nature and agriculture? Do you want to be part of t

[Industry: Insurance | Type: Full-time | Level: Not Applicable] Are you passionate about financial markets and have a keen eye for detail? Join our team at Swiss Re as an Associate Product Controller supporting our Fixed Income investment strategies

You'll work collaboratively with stakeholders across the organization to understand requirements and deliver scalable, efficient data solutions. Key Responsibilities Design and implement data storage solutions including data lakes and data warehouses Develop and maintain robust data pipelines to extract, transform, and load data from various source systems Create and manage data models to support analytical and operational requirements Optimize data storage and processing for performance, cost, and reliability Collaborate with business stakeholders to understand requirements and provide efficient solutions Integrate data from multiple sources, including APIs, databases, and external data providers Ensure data quality and integrity through validation and transformation processes Document data engineering processes, systems, and standards Monitor and optimize the performance of data systems and pipelines Promote best practices for data management and engineering Partner with Product Owners and Engineering Leads to build target architectures and improve business processes About The Team The role is assigned to the Data Engineering & Analytics Product Area (Area III) which is the data engineering and analytics backbone for business teams spanning HR, Legal & Compliance, Procurement, Communications & Corporate Real estate.

You'll work collaboratively with stakeholders across the organization to understand requirements and deliver scalable, efficient data solutions. Key Responsibilities Design and implement data storage solutions including data lakes and data warehouses Develop and maintain robust data pipelines to extract, transform, and load data from various source systems Create and manage data models to support analytical and operational requirements Optimize data storage and processing for performance, cost, and reliability Collaborate with business stakeholders to understand requirements and provide efficient solutions Integrate data from multiple sources, including APIs, databases, and external data providers Ensure data quality and integrity through validation and transformation processes Document data engineering processes, systems, and standards Monitor and optimize the performance of data systems and pipelines Promote best practices for data management and engineering Partner with Product Owners and Engineering Leads to build target architectures and improve business processes About The Team The role is assigned to the Data Engineering & Analytics Product Area (Area III) which is the data engineering and analytics backbone for business teams spanning HR, Legal & Compliance, Procurement, Communications & Corporate Real estate.

About The Role Cyber Defence is the focal point for all security activities across Swiss Re. As part of the Security Team, Cyber Defence is responsible for maintaining security operations, focused on delivering high-quality detection monitoring and response solutions.

Join our dynamic team as a Business Analyst where you'll translate complex business requirements into innovative technical solutions. About The Role As a Business Analyst, you'll be the vital link between our business stakeholders and technical teams, ensuring that business requirements are clearly understood and effectively implemented in our solutions.

[Industry: Insurance | Type: Full-time | Level: Not Applicable] Enterprise Content Management Architect (Documents & Records Management)Are you passionate about modernizing enterprise document management systems and driving cloud transformation? Joi

You will also serve as a technical role model—driving high-quality engineering practices, ensuring robust delivery forecasting, and elevating the technical maturity of your domain. Operates with ownership and accountability over domain-quality and cross-domain delivery.

About The Team And Our Scope Our team, a software house within Swiss Re, develops cloud-native (Azure-based) SaaS/PaaS solutions for external Life & Health insurance clients. Our Data & Analytics service is a cloud-native SaaS leveraging Azure Data Factory, Databricks, Synapse, modern data lake house infrastructure, and relational databases.