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Data Engineer

Pubblicato il 07-09-2026 - Fondazione Telethon in Milano

What if your data platforms and analytics solutions helped Fondazione Telethon make better decisions for research funding, Grant Management and scientific innovation?

Fondazione Telethon is a leading Italian biomedical charity dedicated to advancing research on rare genetic diseases. Its mission is to turn excellent science into real therapies, improving the lives of patients and their families.

We are looking for a Data Platform & Analytics Engineer to strengthen the Grant Management and Digital Transformation area, supporting the evolution of the vertical ERP for Grant Management, the Data Lake / Lakehouse ecosystem, reporting capabilities, system integrations and initiatives related to Artificial Intelligence.

You will collaborate with a multidisciplinary team to design, develop and iterate on data products, integrations and analytics solutions that support Grant Management processes, Peer Review activities, operational reporting and strategic decision-making.

The role combines data engineering, analytics engineering, functional analysis and stakeholder collaboration.



You will help translate business and operational requirements into scalable data solutions, improving data quality, automation, interoperability and usability across platforms.

A key aspect of this role is supporting the organisation’s transition toward a more mature data-driven operating model. You will contribute to the evolution of the Data Lake / Lakehouse, the design of dashboards and semantic models, and the identification of concrete AI and Generative AI use cases for data, reporting and operational efficiency.

We work in a mission-driven, collaborative and pragmatic environment, where technology is used to improve processes, accelerate access to information and increase the quality of organisational decisions.

Our approach is strongly oriented to impact and continuous improvement:

• We evolve platforms and data flows through iterative delivery and close collaboration with internal st

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