About the role
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
Originally posted on Himalayas