Das ist der Job
In this role, you will help design, build and maintain a scalable data platform based on Databricks on Azure.
Darum lohnt es sich
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.
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
