To extend the existing Group Data Services (GDS) Analytics Solutions team, we are seeking a motivated Software and Platform Engineer with focus on data to build and own scalable platforms, end-to-end solutions and services in the area of information retrieval, text mining, big data/document analytics, predicting analytics and natural language processing.
The new collegues will operate in an Agile environment working in tight cooperation with peers, internal experts and business clients to support, organize and manage various activities within the team.
Key Tasks
- Lead small sized projects and contribute to the end to end solution implementation
- Design a solution architecture embedded in the wider enterprise context to meet the business needs
- Proactively identify potentials 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 in order to become a trusted partner in the field of information retrieval and big data/document analytics
GDS (Group Data Services) leads Swiss Re's ambition to be a truly data-driven risk knowledge company. GDS bring expertise and experience 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 team deals with data & analytics platforms for enabling the creation of innovative solutions to data driven business needs. It also enables Swiss Re Group to efficiently utilize the platforms and ensures its availability and proper functioning.
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The Opportunity
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To extend the existing Group Data Services (GDS) Analytics Solutions team, we are seeking a motivated Software and Platform Engineer with focus on data to build and own scalable platforms, end-to-end solutions and services in the area of information retrieval, text mining, big data/document analytics, predicting analytics and natural language processing.
The new collegues will operate in an Agile environment working in tight cooperation with peers, internal experts and business clients to support, organize and manage various activities within the team.
Key Tasks
- Lead small sized projects and contribute to the end to end solution implementation
- Design a solution architecture embedded in the wider enterprise context to meet the business needs
- Proactively identify potentials 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 in order to become a trusted partner in the field of information retrieval and big data/document analytics
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About You
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About us
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Essentials
- Bachelor's, Master's degree in computer science or equivalent
- 5+ years of professional experience in software development in an enterprise environment, with strong Java programming skills
- Understand of complex enterprise software landscape: distributed systems, big data, security and high-traffic concepts
- Knowledge about some of the following technologies: Kafka, Elasticsearch, Spark, API programming, Kubernetes, CI/CD
- Appreciated is some experience working on Public Cloud with preference on Azure Cloud
- Excellent verbal and written English skills
- Experience working with or in Agile teams and understanding of Agile practices
Behavioural Competences
- Team player with a ‘can do’ attitude
- Ability to work in an interdisciplinary and multi-cultural environment
- High degree of flexibility, independent and proactive working style
- Ability to work well under pressure and on multiple and conflicting priorities
- Strong commitment to quality and timely customer service
- A continuous improvement mind-set and dedication to uncovering better ways of working
Beneficial
- Understanding of (Re-) insurance and/or financial services information needs
- Experience with Microsoft Azure/AWS cloud or similar cloud providers
- Experience in data science including natural language processing/understanding
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