Remote Data Engineer with AWS

What if your data pipelines helped bring a gene therapy to a patient who had no other options?Fondazione Telethon is a leading Italian biomedical charity dedicated to advancing research on rare genetic diseases.

Since its founding, it has funded thousands of research projects and supported hundreds of scientists in Italy and abroad.

Telethon-backed research has led to internationally recognised breakthroughs, including approved gene therapies for rare diseases.

Our mission is to turn excellent science into real therapies, improving the lives of patients and their families.We are looking for a Data Engineer to join our agile, multidisciplinary data team — someone who is as comfortable designing robust infrastructure as they are experimenting with emerging tools in a fast-moving scientific environment.The RoleYou will collaborate with a multidisciplinary team to design, develop, and iterate on data products that directly support strategic decisions on research funding and scientific communication.

You will work alongside — and regularly interact with — world-class gene therapy researchers, giving your work immediate relevance and real-world impact.We maintain a broad project funnel that encourages exploration and experimentationWe prototype fast and learn quicklyWe deliberately accept the risk of discontinuing initiatives that prove non-sustainableDecisions are driven by impact, feasibility, and alignment with our missionThis environment rewards curiosity, pragmatism, and a strong sense of ownership.Design, build, and maintain robust data pipelines and graph database infrastructure, integrating third-party services via APIs and optimising for performance and scalabilityDesign and implement automated data quality monitoring frameworks, including AI-powered agents for periodic checks, anomaly detection, and pipeline health monitoringEstablish and maintain CI/CD pipelines for automated testing, deployment, and versioning of data infrastructure and codeMaintain high code quality through reviews, pull requests, and knowledge-sharing practicesKEY REQUIREMENTS:Master's degree in Computer Science, Engineering, or a related field3+ years of experience as a Data Engineer, Machine Learning Engineer, or AI Engineer Strong proficiency in Python and SQL, including experience designing and consuming REST and/or GraphQL APIsFamiliarity with cloud platforms (AWS, GCP, or Azure) and containerisation tools (Docker, Kubernetes)Hands-on experience designing and maintaining CI/CD pipelines, ideally in a data or ML engineering context (e.GitHub Actions, GitLab CI, Jenkins)A proactive, ownership-driven mindset with the ability to work effectively in a collaborative, fast-paced teamNice to HaveBackground or strong interest in graph theory and tools (Neo4j, NetworkX)Experience with AI agent design and deploymentExperience building data applications with Streamlit or RetoolDevOps experienceOTHERS INFORMATION:What You Can ExpectA vibrant technological environment with genuine room to experiment and innovateDirect collaboration with leading gene therapy researchers and a mission-driven organisation where your work has tangible impact on patients' livesChallenging technical problems at the intersection of strategy, science, and product developmentA competitive compensation package commensurate with experienceRome or Milan based, with 50% remote workingPlease submit your application including your CV.

Due to the volume of applications we receive, we are only able to provide individual feedback to candidates who progress to the interview stage — but we review every application carefully.