Data Platform

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

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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.

The Role

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.

How We Work

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:

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• We analyse functional requirements and translate them into clear, documented and sustainable technical solutions
  
• We evolve platforms and data flows through iterative delivery and close collaboration with internal stakeholders and technology partners
  
• We automate recurring activities where this improves reliability, repeatability and control
  
• We promote data quality, governance, documentation and knowledge sharing as foundations for scalable innovation
  
• We evaluate emerging technologies, including AI and Generative AI, according to their feasibility, value and alignment with Fondazione Telethon’s mission
  

This environment rewards curiosity, autonomy, pragmatism, strong analytical thinking and a clear sense of ownership.

KEY RESPONSIBILITIES:

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• Design, build and maintain robust data pipelines, ETL / ELT processes and integrations across the Grant Management System, enterprise applications, Data Lake / Lakehouse platforms and Business Intelligence tools
  
• Support the evolution of the Grant Management platform by contributing to workflows, reporting, data quality controls and functional enhancements
  
• Develop dashboards, advanced reports and reusable data models supporting Grant Management, Peer Review, operational monitoring and internal decision-making
  
• Define and implement data quality monitoring, controls, documentation and governance practices to improve reliability, transparency and traceability of informationAutomate recurring operational activities through scripts, APIs or workflow automation tools, reducing manual workload and improving process repeatability
  
• Collaborate with users, internal teams and external vendors to collect requirements, troubleshoot issues and deliver sustainable technical solutions
  
• Support AI and Generative AI initiatives by identifying practical use cases, preparing reliable data foundations and contributing to prototyping or evaluation activities
  
• Maintain high quality standards through documentation, structured change management, peer reviews and knowledge-sharing practices
  

KEY REQUIREMENTS:

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• Master’s degree in Economics, Management, Business Administration, Computer Science, Engineering, Data Science, Information Systems or a related field. xysqume A degree with an economics or management focus is considered a primary requirement.
  
• 3+ years of experience as a Data Engineer, Data Platform Engineer, Analytics Engineer, Business Intelligence Specialist or similar role
  
• Strong proficiency in SQL and solid understanding of data modelling, data warehouse, Data Lake and Lakehouse concepts
  
• Experience designing, building and maintaining ETL / ELT