Your Tasks
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Automation of testing and deployment processes for R packages, Plumber APIs, and Shiny web applications
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Management and continuous development of Azure cloud resources
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Design and implementation of testing strategies for R packages
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Ensuring monitoring of pricing and geoservice applications
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Experience with the following tools is an advantage: GitLab CI, Harbor, Nexus, and API management
Your Profile
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Successfully completed degree in (Business) Informatics, Statistics, Data Science, or a comparable qualification
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Hands-on project experience in data science, data warehouse, or BI environments; experience with GitLab CI/CD and Docker is an advantage
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Strong conceptual understanding of insurance-specific processes as well as solid knowledge of common data science methodologiesInitial experience with insurance lines of business and product knowledge within a data domain is a plus
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Good knowledge of data modelling, data workflows, performance optimisation, and ETL processes; ideally in combination with cloud technologies and APIs
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Strong technical mindset with above-average, hands-on experience in software development (in particular R, SQL, and Python)
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Excellent analytical skills and the ability to quickly understand complex topics
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High quality and excellence standards in the delivery of projectsStrong communication and teamwork skills, combined with a high level of initiative, commitment, and entrepreneurial thinking
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Very good written and spoken German and English skills
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Flexible working hours |
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Health management |
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Mobile working |
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Further training |
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