Data Platform & Analytics Engineer
Pubblicato il 11-08-2026 - Fondazione Telethon in Milano
ppWhat if your data platforms and analytics solutions helped Fondazione Telethon make better decisions for research funding, Grant Management and scientific innovation? /p pFondazione 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. /p pWe 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. /p h3The Role /h3 pYou 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. /p pThe 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. /p pA 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. /p h3How We Work /h3 pWe 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. /p pOur approach is strongly oriented to impact and continuous improvement: /p ul liWe analyse functional requirements and translate them into clear, documented and sustainable technical solutions /li liWe evolve platforms and data flows through iterative delivery and close collaboration with internal stakeholders and technology partners /li liWe automate recurring activities where this improves reliability, repeatability and control /li liWe promote data quality, governance,
documentation and knowledge sharing as foundations for scalable innovation /li liWe evaluate emerging technologies, including AI and Generative AI, according to their feasibility, value and alignment with Fondazione Telethon’s mission /li /ul pThis environment rewards curiosity, autonomy, pragmatism, strong analytical thinking and a clear sense of ownership. /p h3KEY RESPONSIBILITIES: /h3 ul liDesign, 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 /li liSupport the evolution of the Grant Management platform by contributing to workflows, reporting, data quality controls and functional enhancements /li liDevelop dashboards, advanced reports and reusable data models supporting Grant Management, Peer Review, operational monitoring and internal decision-making /li liDefine 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 /li liCollaborate with users, internal teams and external vendors to collect requirements, troubleshoot issues and deliver sustainable technical solutions /li liSupport AI and Generative AI initiatives by identifying practical use cases, preparing reliable data foundations and contributing to prototyping or evaluation activities /li liMaintain high quality standards through documentation, structured change management, peer reviews and knowledge-sharing practices /li /ul h3KEY REQUIREMENTS: /h3 ul liMaster’s degree in Economics, Management, Business Administration, Computer Science, Engineering, Data Science, Information Systems or a related field. A degree with an economics or management focus is considered a primary requirement. /li li3+ years of experience as a Data Engineer, Data Platform Engineer, Analytics Engineer,
Business Intelligence Specialist or similar role /li liStrong proficiency in SQL and solid understanding of data modelling, data warehouse, Data Lake and Lakehouse concepts /li liExperience designing, building and maintaining ETL / ELT pipelines, data flows and integrations between enterprise applications and data platforms /li liExperience with modern data platforms and cloud-based data ecosystems, preferably Snowflake, Databricks, Azure, AWS or Google Cloud /li liExperience developing dashboards, reports or semantic models with Power BI, Tableau or similar analytics platforms /li liKnowledge of data quality, data governance, metadata management, traceability and monitoring practices /li liExperience designing or consuming REST APIs and integrating third-party or enterprise services /li liA proactive, ownership-driven mindset with the ability to work effectively with technical teams, business stakeholders and external partners /li /ul h3Nice to Have /h3 ul liExperience with Artificial Intelligence and Generative AI solutions applied to data, reporting or operational processes /li liExperience with workflow automation, data integration tools or low-code / no-code platforms /li liExperience working with Grant Management platforms, peer review workflows, vertical ERP platforms for Grant Management or comparable enterprise applications /li liExperience with CI/CD practices, code versioning, testing and structured release management in a data or analytics context /li liExperience leading small initiatives, coordinating technical activities or mentoring colleagues /li liExperience working in consulting, enterprise transformation or dynamic multidisciplinary environments /li /ul h3OTHERS INFORMATION: /h3 h3What You Can Expect /h3 ul liA mission-driven organisation where data and technology can contribute to improving patients’ lives /li liThe opportunity to work on strategic projects involving Grant Management, Data Platform, Business Intelligence, integration and Artificial Intelligence /li liA collaborative environment with exposure to scientific, operational and technology stakeholders /li liChallenging problems at the intersection of processes, data, platforms and digital innovation /li liAutonomy and ownership over technical initiatives with tangible organisational impact /li liMilan based, with hybrid working model /li /ul /p #J-18808-Ljbffr