# Senior Data Engineer (m/f/d) at Retinsight Gmbh

> Austria · Senior · Data engineering · open. Source: https://alderhq.app/jobs/personio%3Aretinsight-gmbh%3A2812632 (read 2026-11-09).

## Facts (observed)

- Company: [Retinsight Gmbh](https://alderhq.app/companies/retinsight-gmbh)
- Location text: Vienna
- Where it can be done from (inferred): Austria (evidence: "Location: Vienna")
- Posted: 2026-09-24 (46 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://retinsight-gmbh.jobs.personio.de/job/2812632
- Skills listed (inferred): Python, AWS, Azure, Terraform, Airflow, SQL

## Pay and sponsorship

- Posted pay: €55k per year (from the description)

## Description (the employer's text)

### Your responsibilities

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.
### Your profile

- 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.
- 5+ years of data-engineering or backend/platform experience, including production-grade cloud pipelines and services
- Expert Python and SQL skills with strong data-modeling, database, object-storage, schema-evolution, and high-volume-processing knowledge
- 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.
- Demonstrated use of data-quality, lineage, observability, idempotency, recovery, API, and data-contract patterns
- Healthcare, medical-imaging, privacy, clinical-research, or regulated-development experience together with technical leadership is highly desirable
- Strong communication skills in English
### Benefits

- 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.

### Contact

Fits to your current situation? Then apply now directly on our career page! We are looking forward to your application (including CV & motivation letter).

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/personio%3Aretinsight-gmbh%3A2812632 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.