We are looking for an experienced Senior Data Engineer to support the build-out and further development of a modern data platform in the insurance and reinsurance environment.
In this role, you will help design, build and maintain a scalable data platform based on Databricks on Azure. The platform is intended to centralize fragmented data sources, establish data quality checks, organize data into meaningful business domains and provide reliable data layers for reporting, applications, analytics and future AI use cases.
The platform supports key reinsurance processes, including underwriting, pricing, actuarial, reserving and finance. Data is ingested from various source systems, primarily SAP.
Build, maintain and optimize data pipelines in Databricks
Design and implement scalable Lakehouse and Medallion Architecture concepts
Structure data into meaningful business domains
Develop and maintain Bronze, Silver and Gold data layers
Create Gold layers to support business use cases, especially applications, reports and analytics
Integrate and process data from multiple source systems, primarily SAP
Implement data quality checks, monitoring and validation mechanisms
Support data modelling, database design, storage concepts and performance optimization
Contribute to governance, security and access management concepts
Support or build CI/CD pipelines for data engineering workflows
Support reporting requirements, most likely with Power BI and/or Databricks
Prepare the data platform for future AI and advanced analytics use cases
Enable easy onboarding of business users onto the data platform
Work closely with infrastructure, architecture, business, reporting and data teams
Several years of experience as a Senior Data Engineer or in a comparable role
Strong experience in building and maintaining data pipelines with Databricks
Solid knowledge of Lakehouse Architecture and Medallion Architecture
Good experience with cloud-based data platforms, ideally on Azure
Strong understanding of data quality, data governance, security and access management
Experience with data modelling, databases, storage technologies and performance optimization
Experience with CI/CD concepts in a data engineering environment
Good knowledge of the Databricks ecosystem and related components
Experience with SAP data sources is a strong advantage
Experience in insurance, reinsurance, finance or actuarial environments is beneficial
Knowledge of Power BI and/or Databricks reporting is an advantage
Ability to structure complex data landscapes and translate them into scalable solutions
Senior, independent and structured working style
Strong communication skills with both technical and business stakeholders
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