Analytics Solutions Engineer

GDS (Group Data Services) leads Swiss Re's ambition to be a truly data-driven company. It brings expertise covering all aspects of data and analytics to enable Swiss Re in its vision to make the world more resilient. The Data Platform Engineering & Operations product area runs and enhances data & analytics platforms to support the creation of innovative solutions.

About the team

To extend our existing Group Data Services (GDS) Analytics Solutions team, we are looking for a motivated Software and Platform Engineer with a strong focus on data to build and own scalable platforms, end-to-end solutions, and services in information retrieval, text mining, predictive analytics, and Large Language Models (LLM).

Our new colleague will work in an Agile environment in a tight collaboration with internal and external experts, as well as business clients to support, organize and manage various activities within the team.

In your role, you will…

• Lead smaller projects and contribute to the end to end solution implementation
• Design solution architecture embedded in the wider enterprise context to meet the business needs
• Proactively identify potential for continuous improvement of existing solutions
• Ensure timely customer communication and coordination of follow-up activities
• Apply and implement Agile Scrum and DevOps best practices while driving the project forward
• Build up sustainable relationships with key business and IT stakeholders to become a trusted partner in the field of information retrieval and big data/document analytics

About You

Your qualifications

What we need from you

• Bachelor's or master's degree in computer science or equivalent
• Professional experience in software development in an enterprise environment, with strong Java programming skills
• Understanding of enterprise software landscape, including distributed systems, big data, security, and high-traffic architecture
• Familiarity with technologies such as Kafka, Elasticsearch, Spark, API programming, Kubernetes, and CI/CD processes

Nice-to-have

• Experience with Microsoft Azure cloud or similar cloud providers
• A background or interest in data science, particularly in natural language processing/understanding
• Knowledge of or experience with Large Language Models (LLM) and related engineering practices
• Prior exposure to public cloud environments, with an affinity for Azure Cloud solutions

What can you look forward to?

• Attractive annual bonus
• Additional days of vacations
• Company stock options
• Space for professional growth, including leadership and language courses, for instance
• Flexible working hours – own the way you work – and home office
• Fully paid lunch allowance
• Sick leave compensation
• Employee pension contribution
• Medical service contribution
• And more!

The minimum gross monthly base salary for this role is XXXX EUR full time. Our final offer to you will be set up fairly, considering the skills and experience that you bring to the Swiss Re Group.

This job offer is suitable for people who have been impacted by the invasion of Ukraine.
 

We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance, and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and innovative expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work.