Job
- Level
- Senior
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 55.356 € Brutto/Jahr
Job Zusammenfassung
In dieser Position entwirfst du skalierbare Cloud-Architekturen, automatisierst Analyse-Pipelines für medizinische Bilddaten und entwickelst wiederverwendbare Interfaces, um neue Studien effizient zu integrieren.
Job Technologien
Deine Rolle im Team
- We are looking for a highly skilled and motivated Senior Data Engineer (m/f/d) to support shaping the data platform behind AI-powered medical imaging analysis for pharmaceutical services.
- In this role, you will design scalable cloud architectures, automate analysis pipelines, and build reusable tools that make it easier to bring new studies, devices, and indications onto the platform.
- You will combine strong Python and SQL skills with data engineering or backend/platform experience to deliver reliable, secure, and traceable results.
- Working closely with colleagues across teams, you will guide technical decisions, mentor others, and turn complex requirements into practical solutions.
- Your responsibilities will include:
- Define scalable architectures for the ingestion, validation, transformation, versioning, and delivery of medical imaging data, annotations, and analytical outputs.
- Design and automate retrospective AI analysis pipelines for pharmaceutical services, including configuration, curation, execution, quality checks, and standard outputs.
- Develop reusable interfaces, APIs, schemas, and shared-data-platform components that simplify onboarding of new studies, devices, and indications.
- Implement orchestration, scheduling, dependency management, retry handling, monitoring, and alerting for cloud-based pipelines.
- Establish data-quality rules, lineage, metadata, audit trails, and observability for reproducible and traceable results.
- Apply security, privacy, access-control, retention, CI/CD, and infrastructure-as-code practices; optimize reliability, scalability, performance, and cloud cost.
- Lead architecture and code reviews, resolve platform issues, align interfaces across teams, mentor colleagues, and maintain technical and validation documentation.
Unsere Erwartungen an dich
Ausbildung
- Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, Information Technology, Mathematics, Biomedical Engineering, or another closely related quantitative or technical field.
- Equivalent senior professional experience may substitute for a formal degree.
Qualifikationen
- Expert Python and SQL skills with strong data-modeling, database, object-storage, schema-evolution, and high-volume-processing knowledge.
- Demonstrated use of data-quality, lineage, observability, idempotency, recovery, API, and data-contract patterns.
- Strong communication skills in English.
Erfahrung
- 5+ years of data-engineering or backend/platform experience, including production-grade cloud pipelines and services.
- Hands-on experience with orchestration platforms such as Airflow, Prefect, Dagster, or comparable technologies.
- Strong cloud, containerization, CI/CD, monitoring, and infrastructure-as-code experience.
- Experience with AWS, Azure, AWS CDK, or Terraform are advantageous.
- Healthcare, medical-imaging, privacy, clinical-research, or regulated-development experience together with technical leadership is highly desirable.
Unser Angebot
- Room for your own ideas and possibility to grow in your role.
- Friendly and supportive team culture that values diversity.
- Hybrid work model (home office + in-person collaboration).
- Flexible working hours for better work-life balance.
- Well-equipped workplace in a charming office in central Vienna.
- Public transport support.
- Regular team-building events.
- Fully stocked kitchen with snacks and drinks.
- Access to digital mental well-being platform.
- Corporate Benefits and discounts.
- Buddy program to help you get started.
- You can expect a gross yearly salary starting at EUR 55,356.- (on full-time basis, 38.5 hours/week based on the collective agreement) with the willingness to overpay according to your qualification and experience.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
RetInSight GmbH
Wien
Wir sind ein innovatives Gesundheitstechnologie-Startup der Medizinischen Universität Wien (Christian Doppler Labor OPTIMA) mit Kunden und Partnern auf der ganzen Welt.
Description
- Gründungsjahr
- 2020
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom, Pharma, Chemie, Biotech, Wissenschaft, Forschung
Arbeitgeber-Reviews
von devworkplaces.com
Gesamt
(1 Bewertung)4.5
Culture
4.2Engineering
4.3Career Growth
4.6Workingconditions
4.8
Senior Data Engineer
- Gehalt
- ab 55.356 € Brutto/JahrNetto aus dem Bruttogehalt im Inserat umgerechnet.ab 38.628 € netto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
