Working Student – Healthcare Data Engineering (Computer Science / Data Science)

Company DescriptionFounded in 2020 and headquartered in Munich, Snke is transforming healthtech with scalable, data-driven innovation powered by AI and big data analytics. We're experts specializing in large platforms, digital health and software-driven medical technology. By delivering a trusted orchestration layer, Snke empowers healthcare providers, societies, registries, agencies and all partners to deploy cutting-edge solutions for safe and efficient interventions and enhances patient outcomes. Beyond our Munich headquarters, we have core teams in Chicago, Heidelberg, San Diego and Tel Aviv. Snke fosters global collaboration to create technologies that are smart, enablin and holistic—helping healthcare providers deliver meaningful change.Job DescriptionAs a Working Student in Healthcare Data Engineering, you will support our interdisciplinary team in developing and maintaining the data backbone of our healthcare ecosystem. You will contribute to creating privacy-centered, interoperable data solutions that enable data-driven healthcare and research. Together with experienced software engineers, data scientists, and domain experts, you will help design, implement, and validate data pipelines that bring medical data to life. Your responsibilities Support the design and implementation of FHIR-based data pipelines and APIs Develop scripts and tools for data transformation, cleaning, and validation Contribute to the integration and standardization of healthcare data (FHIR, DICOM, HL7, SNOMED CT, LOINC) Assist in building data models, dashboards, and prototypes for clinical and research use cases Participate in the documentation and quality assurance of data processes Collaborate with team members from software engineering, medical informatics, and project management QualificationsEnrolled student in Computer Science, Data Science, Bioinformatics, or a related field Experience with one or more programming languages (e.g., Python, JavaScript, or SQL) Familiarity with data structures, APIs, or databases Interest in healthcare data, interoperability, and digital health applications Independent and reliable working style, with attention to detail Good communication skills in English Additional InformationA supportive, international team connected by shared values and a culture of trustMeaningful responsibilities with a lasting impact on global healthtech, improving medical decisions and patient outcomesFlexible working hours and a hybrid work model within GermanyParking garage and secure underground bike storageSubsidized company restaurant and in‑house caféRegular after‑work, team, and company eventsCentrally located, modern workspace with a 212 m² rooftop terraceReady to apply? We look forward to receiving your online application including your first available start date. Contact person: Selina Feldengut