Job
In this role, you will design scalable cloud architectures, automate analysis pipelines for medical imaging data, and develop reusable interfaces to efficiently onboard new studies.
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Your role in the 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.
- Leiten Sie Architektur- und Code-Reviews, beheben Sie Plattformprobleme, stimmen Sie Schnittstellen zwischen Teams ab, betreuen Sie Kollegen und pflegen Sie technische sowie Validierungsdokumentationen.
Our expectations of you
Education
- 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.
Qualifications
- 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.
Experience
- 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 is advantageous.
- Healthcare, medical imaging, privacy, clinical research, or regulated development experience together with technical leadership is highly desirable.
What we offer
- 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.
- Support for public transport.
- Regelmäßige Team-Building-Events.
- Voll ausgestattete Küche mit Snacks und Getränken.
- Zugang zu einer digitalen Plattform für psychisches Wohlbefinden.
- Corporate benefits and discounts.
- Buddy-Programm, um dir den Einstieg zu erleichtern.
- You can expect a gross annual salary starting at EUR 55,356.- (based on full-time employment, 38.5 hours/week, according to the collective agreement) with a willingness to overpay depending on your qualifications and experience.
Benefits
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Wien
We are a cutting-edge health technology company that was spun off from the Medical University of Vienna. Our software solutions help ophthalmologists and physicians provide precision medicine to their patients, which in turn saves eyesight. We have global customers and partners, making our technology available to people all over the world.
- 2020
- Startup
- Hybrid, Onsite
- Internet, IT, Telecommunication · Pharmaceutical Sector, Chemical Industry, Biotech · Science, Research
Employer reviews
- Team culture
- 4.3
- Engineering
- 4.4
- Career growth
- 4.6
- Working conditions
- 4.8
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