Senior Data Engineer (m/f/d)

RetInSight GmbH; Wien; Hybrid; EUR 47.000 - 64.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Central Vienna office

Public transport support

Team-building events

Well-equipped kitchen

Mental well-being platform

Corporate benefits and discounts

Buddy program

Zusammenfassung

RetInSight GmbH is seeking a Senior Data Engineer to shape our data platform for AI-powered medical imaging analysis. The role focuses on scalable cloud architectures, automated pipelines, and reusable tooling to onboard new studies, devices, and indications.

You will work with Python and SQL, architect data ingestion and validation, and drive data quality, security, and observability. Hybrid Vienna-based role with strong collaboration across teams.

Qualifikationen

• Bachelor’s or Master’s degree in a technical field or equivalent experience.
• 5+ years in data engineering or backend/platform roles with production cloud pipelines.
• Expert Python and SQL with data modeling and high-volume processing.
• Experience with orchestration platforms like Airflow, Prefect or Dagster and IaC tooling.
• Strong English communication and collaboration skills.

Aufgaben

• Define scalable architectures for ingestion, validation, transformation, versioning, and delivery of medical imaging data.
• Automate retrospective AI analysis pipelines and standard outputs.
• Build reusable interfaces, APIs, schemas, and shared data platform components.
• Implement orchestration, scheduling, dependency management, and monitoring for cloud pipelines.
• Establish data-quality rules, lineage, audit trails, and observability.
• Apply security, privacy, access-control, retention, and CI/CD practices; optimize reliability and cost.
• Lead architecture and code reviews, mentor colleagues, and maintain documentation.

Kenntnisse

Python

SQL

Airflow

Prefect

Dagster

Cloud platforms

CI/CD

English communication

Ausbildung

BSc/ MSc in CS

Tools

AWS

Azure

Terraform

CDK

Docker

Kubernetes

Jobbeschreibung

We are looking for a highly skilled and motivatedSenior 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.

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
• 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)
• 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

• 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.

About us

We are a spin-off of the Medical University of Vienna with the aim to bring the breakthroughs of science to the society and each individual, anywhere and anytime. Our expertise builds on more than 15 years of tele-ophthalmology and AI-based retinal image analysis. As pioneers in the field, we are developing cloud-based transformational AI solutions to improve patient outcomes, empower physicians to increase clinical efficiency and reduce healthcare costs addressing the leading eye diseases of our times. With your contribution we will protect millions of patients from irreversible vision loss and blindness.