Project Engineer – Healthcare Data Modelling
Founded 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 Description
As a Project Engineer for Healthcare Data Modelling, you will fill our data ecosystem with life and create solutions together with our cross-functional teams and customers. You will be part of a growing interdisciplinary team that creates a patient-privacy-centered ecosystem for data-driven healthcare and rethinks all aspects from data capture and visualization to analysis. You will play a central role in a variety of projects focused on understanding client needs, and for example define data collection protocols, and develop FHIR questionnaires. Additionally, you will ensure compliance with regulatory standards and apply agile methodologies to drive project success.
In this position you will be
- working directly with clients to identify and document specific project requirements
- conducting workshops and meetings to understand and define the client's needs and objectives
- defining protocols for data collection:
- developing and implementing protocols to collect data effectively and efficiently
- ensuring protocols meet relevant legal and regulatory requirements and are interoperable
- design complete FHIR-based data pipelines:
- using specialized tools to create and customize questionnaires
- developing concepts for the integration of questionnaires and data models into the client's existing IT infrastructures
- using healthcare terminologies: Use of FHIR, DICOM, SNOMED and LOINC to ensure interoperability and standardization of healthcare data (training and familiarization with these terminologies can be provided if required)
Qualifications
- Completed training in the medical field, health/medical informatics, digital health, computer science, data science or comparable qualification (University degree is not necessarily required)
- Skills and knowledge in the area of data engineering, data analytics or software engineering, with special emphasis on healthcare terminologies are a plus
- Ability to translate complex contexts and solutions into clear and concise visions and strategies
- Analytical mindset and creativity to develop reliable solutions
- A well-organized, efficient and clearly structured work style
- Outstanding presentation and communication skills in English and German
- Knowledge in product & requirements management
Additional Information
- A mutually-supportive, international team
- Opportunity to build career experience in an exciting international company with a lasting impact on medical technology based in Munich
- Flexible working hours
- Secure bicycle storage room
- Subsidized catering service
- Subsidized Gold Gym membership
- Centrally located, modern work spaces with a great 212m² roof terrace
Ready to apply? We look forward to receiving your online application including your first available start date.