Senior Data Engineer - Knowledge Graphs & Clinical Informatics

10 сентября 2026 г.

Гибрид

Senior

Vienna, Budapest, Berlin

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Описание

XUND is a European health‑tech scale‑up building a data backbone that turns clinical data into actionable knowledge graphs. The company serves healthcare providers across Europe and offers a purpose‑driven environment with remote‑first flexibility. We are looking for a Senior Data Engineer to design and implement graph‑based data models and pipelines for clinical informatics.

Обязанности

Design and extend clinical data models using ontologies (SNOMED‑CT, FHIR, UMLS)
Build and integrate parts of the clinical inference engine using rule‑based and statistical models
Develop ETL pipelines and ensure data consistency and interoperability
Translate research insights into production‑grade software in an agile team
Shape technical direction, schema design and engineering best practices across the team
Collaborate closely with medical experts to validate ontology mappings and workflows

Требования

MSc or PhD in Computer Science, Mathematics or related field
Minimum 4 years experience in data engineering or medical data projects
Strong knowledge of graph databases, query languages and inference systems (Neo4j, Cypher, SQL, Datalog)
Proven expertise in Python and/or TypeScript development
Experience with cloud platforms (GCP) and CI/CD pipelines
Familiarity with clinical standards such as FHIR, SNOMED‑CT, UMLS is a plus
Ability to design and implement scalable data pipelines and inference engines

Условия

Hybrid remote work: home or offices in Vienna, Budapest, Berlin
Competitive salary (e.g., 3,954 EUR gross per month in Vienna)
Stock options through Virtual Stock Option Plan (VSOP)
Dedicated training budget and professional development time
22 paid leave days per year
Office dogs allowed in locations with on‑site offices
Flexible benefits for wellness, travel or learning

healthtech

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Senior Data Engineer - Knowledge Graphs & Clinical Informatics

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Senior Data Engineer - Knowledge Graphs & Clinical Informatics

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