ppIFOM is an internationally recognized non-profit cancer research institute supported by the Italian Association for Cancer Research (AIRC) based in Milan within a highly dynamic urban environment /p pIFOM continuous success is ensured by the recruitment of highly selected undergraduate, graduate and post-graduate researchers from over 24 countries worldwide. /p pIFOM is hosted within a research campus shared with the European Institute of Oncology and the Italian Institute of Technology. /p pIFOM is committed to creating a safe and inclusive environment, based on mutual respect and the enhancement of diversity, offering equal job opportunities to all qualified candidates. /p pWe seek for our Institute: bData Platform Developer /b /p h3About the position /h3 pCandidate will report directly to the Head of Research Computing Data Science and will be responsible for contributing to the development and day-to-day operation of IFOM’s research Data Platform – a governed, metadata-centric environment that manages research data across its entire lifecycle (acquisition, curation, movement, and publication) on a hybrid infrastructure. The role is primarily development-focused: building and extending the platform’s services and integrations, with the awareness needed to operateand troubleshoot the underlying infrastructure. Working alongside the Research Computing Data Science team and the platform’s implementation partner, the candidate will grow into progressive autonomy on the platform. /p pWe are looking for a resource at the beginning of their career, with up to 2 years of experience; recent graduates with relevant project work are welcome to apply. /p pCandidate will be responsible for: /p ul liDeveloping and extending the platform’s services, data pipelines, and integrations, writing clean, maintainable, version-controlled code. /li liBuilding and maintaining data-ingestion and workflow-orchestration pipelines to acquire, validate, tier, and publish research data between storage systems and external repositories. /li liImplementing and maintaining data- and metadata-governance policies (validation, lifecycle, and tiering rules) and supporting the platform’s data catalog. /li liOperating and monitoring platform components running on containerized infrastructure, with enough awareness to inspect and troubleshoot the underlying infrastructure when needed. /li liContributing to the platform’s security and compliance posture – access controls, auditing, and safe handling of sensitive research data – in line with GDPR and institutional policies. /li liWorking with scientific facilities and research groups to translate their data workflows into platform integrations, treating the platform as a product researchers can rely on.



/li liApplying sound engineering practice to all work: version control, automated testing and deployment, reproducible environments, and repeatable procedures rather than manual one-off steps. /li liContributing to documentation, onboarding of research groups, and knowledge sharing within the team. /li /ul h3Qualification /h3 pThis is a development-focused role designed for growth. The essential foundation is solid coding ability and, above all, a strong willingness to learn across data and platform engineering. The remaining skills will be developed on the job. /p ul liProgramming in Python for scripting, automation, and data pipelines, with a focus on clean, maintainable code. /li liSolid command of Linux and the command line. /li liSQL and relational databases (e.g. PostgreSQL). /li liFundamentals of containerization (Docker; Kubernetes is a strong plus). /li liVersion control with Git. /li /ul h3Appreciated (and further developed on the job) /h3 ul liData orchestration / integration tools (Apache Airflow, Apache NiFi, or equivalents). /li liInfrastructure automation and configuration management (Ansible; Helm, Terraform, or equivalents are a plus). /li liCI/CD pipelines and automated testing (e.g. GitLab CI, GitHub Actions). /li liFamiliarity with microservices architectures and REST APIs. /li liMonitoring and observability tools (e.g. Prometheus, Grafana). /li liAwareness of data security and privacy practices (access control, auditing) and of GDPR obligations for sensitive data. /li liExposure to HPC or bioinformatics environments. /li liUnderstanding FAIR data principles and data-catalog / metadata-management concepts. /li /ul h3Education /h3 pA master’s degree in Computer Science, Software / Computer Engineering, Bioinformatics, or a related technical discipline. A bachelor’s degree combined with relevant experience or project work will also be considered. /p h3Languages /h3 pItalian: native-level command (mother tongue); /p pEnglish is essential at IFOM: advanced proficiency in spoken and written English is required; /p h3Soft Skills /h3 pStrong willingness to learn across different domains – from data engineering to platform engineering – and a hands‑on, proactive attitude; curiosity, growing autonomy, and a collaborative, low-ego approach to building tools that others rely on. Comfortable working in an agile, sprint-based team.



/p pCommunication skills. We work in a mixed disciplines environment, and we serve a variety of technical, scientific, and organizational stakeholders. Candidates showing the ability to convey ideas clearly and able to tailor communication style to diverse audiences will be favored. /p pLearning and teamwork attitudes; problem solving; good interpersonal skills; empathy; active listening skills, genuinely open to others' viewpoints and feedback. Collaborative and approachable, fostering trust and constructive dialogue within the team. /p h3What we offer /h3 ul liInternational work environment /li licontinuous training /li liflextime /li lirelocation cost support /li liGuest house inside the Campus /li liAgreements with discounts for Gym, Pharmacy, Psychology service and various shops around Ifom area /li libar and canteen inside the campus lunch vantaggi /li liCompany Nursery /li licontinuous support to candidates and their families (including homing, schooling, registration to the national health system, work permit etc.) thanks to the activities of the Welcome office /li liMedical Service /li liLaptop /li liCaf service- tax declaration /li liLab G: it is a lab specifically designed for pregnant or breastfeeding women researchers. /li /ul h3Type of Contract: /h3 pPermanent contract, full time /p pThis announcement is addressed to both sexes pursuant to Laws 903/77 and 125/91 and to people of all ages and nationalities pursuant to Legislative Decrees 215/03 and 216/03. /p h3Disclaimer privacy /h3 pArticle 13 of the EU Regulation 2016/679) We inform you that the archiving and processing of data referring to you are carried out by IFOM - Istituto Fondazione di Oncologia Molecolare ETS in order to perform the recruitment process. Pursuant to Article 6(1)(b) the legal basis for the processing is the necessity to take steps at the request of the data subject prior to entering into a contract. Your data shall be communicated to third parties that could be located in countries outside the European Union for the recruitment process. IFOM has obtained the necessary guarantees to transfer the Data in compliance with the provisions of Chapter V of the GDPR. The resumes received will be deleted at the end of the calendar year following the one of receipt; if you are still interested in proposing your application you will have to re-send. According to Article 15 et seq of the EU Regulation 2016/679 to exercise your rights you can write to the Data Controller: IFOM - Istituto Fondazione di Oncologia Molecolare ETS, via Adamello 16, Milano, /p pFinally, we inform you that IFOM has appointed a Data Protection Officer (DPO) who can be contacted at /p /p #J-18808-Ljbffr

📌 Data Platform Developer (Milano)
🏢 IFOM
📍 Milano