Senior Data Engineer - Graphs & Clinical Informatics

XUND is a leading digital health scale-up that enables healthcare companies to digitize patient interactions and translate data into actionable insights.

It’s our vision to empower patients to make better decisions. But we cannot do it alone: we need leaders, doers, and innovative minds to turn our vision into reality.

That is why we are looking for an ambitious, highly committed, and entrepreneurial team player who shares our values of putting patients first, building an inspiring and open environment and challenging the status quo.

Join our team as a Senior Data Engineer and architect our company’s new data backbone from the ground up. Your expertise in clinical ontologies and data modeling will turn messy, large-scale healthcare data into a unified, high-performing knowledge graph. You will work directly with medical experts, product teams and data scientists to translate complex clinical domain logic into clean, interconnected data structures & models that bring real value to patients and practicing doctors.

• Find creative uses of different database types and data pipelines to ensure patient data we collect and medical knowledge we produce stay consistent & interoperable.

• Develop and integrate parts of our clinical inference engine relying both on rule-based and statistical models.

• Design and extend clinical data models using domain ontologies (e.g., SNOMED-CT, FHIR, UMLS) to turn healthcare data into rich, queryable graph structures.

• Translate research insights into scalable, production-grade software efficiently in an agile and close-knit team.

• Work closely with medical experts to capture clinical workflows and validate ontology mappings

• Shape the technical direction, schema design, and engineering best practices across the engineering team.

• MSc or PhD in computer science, mathematics, or related field.

• +4 years of proven industry experience in working with medical data or in data engineering (or appropriate academic research).

• Strong knowledge of graph databases, query languages, search algorithms and/or inference systems (e.g. Neo4j, Memgraph, Cypher, SQL, Datalog).

• Extensive experience in software development with Python and/or Type Script - being comfortable with switching languages/frameworks.

• Resident in the EU with a valid work permit.

• Familiarity with concepts of statistics, formal logics and/or machine learning.

• Experience with EHRs and clinical data exchange formats (e.g. FHIR).

• Deep interest in the area of Knowledge Representation and Reasoning (KRR).

• Experience with independently managing cloud environments (ie. GCP) and CI/CD pipelines.

• Join one of Europe’s leading healthtech scale-ups and make a real impact in a purpose-driven environment.

• Take on exciting challenges while working in a dynamic space where creativity and fresh ideas are always encouraged.

• Benefit from a dedicated training budget and professional development time, because we believe in growing together and supporting your skill-building journey.

• Work where you are most productive - remotely from home or from one of our offices in Vienna, Budapest, and Berlin.

• Connect with your team through company-wide celebrations and optional local gatherings, always packed with great food and zero pressure.

• Take on exciting challenges while working in a dynamic space where creativity and fresh ideas are always encouraged

• Work where you are most productive - remotely from home or from one of our offices in Vienna, Budapest, and Berlin.

• Connect with your team through company-wide celebrations and optional local gatherings, always packed with great food and zero pressure.

• Be part of a vibrant, open culture with flat hierarchies and direct communication, where your voice…