Senior Data Engineer Reinsurance (a)
Role details
Job location
Tech stack
Job description
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Newly created build role with genuine room to shape the data landscape
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High visibility and close collaboration with senior management
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Modern data architecture: cloud, Databricks, Data Lakehouse
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Limited legacy burden; strong focus on building and developing new structures
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Small, ambitious team with the stability of an international insurance group
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International exposure through collaboration with Vienna, external cedents, brokers and data providers
Your role
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Design, develop and operate scalable ETL/ELT pipelines for reinsurance data
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Build analytical data models in a modern cloud data platform
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Automate data integration processes via API, SFTP and batch loads
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Implement data lineage, cataloguing and documentation
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Support analytics use cases in pricing, exposure modelling and performance steering
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Translate business requirements from underwriting, finance and technical accounting into robust technical solutions
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Act as a bridge between business stakeholders, data architecture, UITS in Vienna and external data providers
Requirements
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Strong SQL and Python skills
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Experience with cloud data platforms, ideally Databricks
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Solid expertise in data modelling and ETL/ELT frameworks
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Good understanding of IFRS 17 on the level of data logic, reporting requirements and regulatory data needs
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Experience in insurance or reinsurance is strongly preferred; experience in another regulated financial services environment may also be relevant
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Ability to work independently, structure complex topics and communicate clearly with non-technical stakeholders
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Fluent English is sufficient; German is a plus, not a must
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Interest in combining technology, data and business impact in a regulated reinsurance environment