Data Engineer Specialist
Pubblicato il 13-09-2026 - Generali Employee Benefits - GEB in Milano
Generali is one of the largest global insurance and asset management providers. Established in 1831, it is present in 50 countries in the world the Generali Group is one of the most significant players in the global insurance and the asset management industry. Generali supports each firm to innovate and grow with full investment autonomy ensuring they are set up to develop sustainable and innovative solutions. With the stability of Generali Group backing, the platform enables investors to access distinctive strategies and experts' insights.
Generali Employee Benefits (GEB) Network is now Redion Employee Benefits, a Generali Company.
We are Redion. This is not a new company or a restructuring. This is our new global name — one brand for Europ Assistance and Generali Employee Benefits (GEB) Network, bringing together our insurance, assistance, and employee benefits services worldwide. Our vision: to be the world’s premier care partner.
Redion Employee Benefits is the global platform dedicated to the human capital of multinational corporations and,
following the acquisition of Swiss Life Network earlier in 2026, the undisputed worldwide leader in employee benefits.
For more information, please visit our website
We are looking for a Data Engineer Specialist to join our Operations and IT Department. Application must be submitted in English
The Data Engineer Specialist handles daily operations and contributes to new initiatives on GEB’s Data Ingestion Tool platform.
The Data Engineer Specialist works with the Product Owner and cooperates with other colleagues in the COO area, such as business analysts and IT, as well as business departments.
Your responsibilities will include (non-exhaustive list):
- Develop ingestion pipelines using PySpark and Databricks based on provided design specifications.
- Implement data quality validation rules within the established framework.
- Support CI/CD integration by using pre-configured Azure DevOps pipelines (no setup required).