Medgate ofrece servicios de telemedicina y servicios de salud digitales. Sus equipos médicos realizan, entre otras actividades, consultas a distancia.
Data Engineer - Analytics Platform (m/f/d)
Medgate AG busca un ingeniero de datos para diseñar, desarrollar y gestionar su plataforma de datos en la nube con Azure Databricks, dbt y Power BI. El puesto implica la creación de pipelines y modelos de datos fiables, así como la colaboración con los equipos internos y los clientes. El puesto está ubicado en Allschwil, con un modelo híbrido y una dedicación del 80 al 100 %.
Datos sobre Medgate AG
- Dominio oficial
- medgate.ch
- Ofertas abiertas
- 19
Detalles de la oferta
La descripción completa publicada por Medgate AG.
Description de l’offre
Data Engineer
- Analytics Platform (m/f/d) Level of employment: 80-100% Working place: Allschwil and Home- Office For 26 years, Medgate has been bringing doctors directly to patients 24/7 thanks to telemedicine. At Medgate Switzerland, more than 300 motivated employees
- including over 130 permanently employed doctors
- are actively shaping the medicine of tomorrow with the help of future-oriented digital health solutions. Those who treat patients remotely at Medgate receive intensive training in telemedicine at the beginning. The medical guidelines developed for the needs of telemedicine and continuously refined over the years are practice-oriented and designed for remote treatment. The patient management system supports doctors in their treatment by using artificial intelligence, among other things. This means that doctors have less administrative work and can focus more specifically on their patients. The medicine of the future is already a reality at Medgate. With flexible working models and reliable duty scheduling, Medgate makes it easy to combine work, leisure and family life. About the role At Medgate, data plays a key role in shaping the future of healthcare. As a Data Engineer, you'll design, build and operate our modern cloud data platform, enabling reliable insights for internal teams and customer-facing solutions. You'll work with Azure Databricks, dbt and Power BI to transform data into valuable products while helping drive the evolution of our platform from a legacy Data Vault architecture to a modern dimensional (Kimball) model. Working closely with your team, you'll combine technical excellence with AI-powered engineering practices to deliver scalable, high-quality data solutions. Your tasks
- Design, build and operate scalable data pipelines using Azure Data Factory and Databricks (batch and streaming).
- Develop and maintain robust dimensional data models (Kimball) using dbt within a modern bronze/silver/gold medallion architecture.
- Create and maintain semantic models, dashboards and reports in Power BI for internal stakeholders and external customers.
- Collaborate with business stakeholders to translate data requirements into reliable and scalable technical solutions.
- Own your data products end-to-end, ensuring high quality, documentation, monitoring and operational excellence.
- Contribute to infrastructure as code (Terraform), CI/CD processes and code reviews to continuously improve our platform.
- Ensure high standards of data quality, consistency and governance across all data products and pipelines, including the secure handling of sensitive data.
- Use AI tools such as Claude as an integral part of your daily engineering workflow to accelerate development, improve quality and solve complex data challenges. Your profile
Must have
Language
Skills
Fluent English, both written and spoken. German or French is a strong advantage.
- 5+ years of professional experience as a Data Engineer or in a comparable role.
- Hands-on experience with dbt and modern data transformation practices.
- Experience working with AI-powered development tools (e.g. Claude, ChatGPT or GitHub Copilot) to increase engineering productivity.
- Solid SQL skills and experience building reliable data pipelines.
- A degree in Computer Science, Data Science or a related field, or equivalent professional experience.
Nice to have
- Experience : with Azure Databricks and Azure Data Factory. - Knowledge of dimensional data modelling (Kimball) and medallion architecture.
- Experience : building semantic models, reports and DAX in Power BI. - Familiarity with Infrastructure as Code (Terraform) and CI/CD pipelines.
- Experience : with Unity Catalog or comparable data governance solutions. - Python
- experience : for data engineering or automation.
- Experience : working with Data Vault environments.
- Experience : deploying or supporting machine learning solutions in production.
- Experience : in healthcare, insurance or other highly regulated industries.
What we offer
- Work on meaningful projects that help shape the future of digital healthcare.
- Modern cloud-native technology stack including Azure Databricks, dbt, Power BI and AI-powered engineering tools.
- Hybrid working model with two office days per week (Tuesday and Wednesday) and flexible remote working on the remaining days.
- High level of ownership and the opportunity to actively shape our growing data platform.
- Collaborative, international working environment with short decision-making paths.
- Continuous learning opportunities and access to modern technologies. Your benefits with Medgate Innovative company Varied responsibilities Flexible job options and part-time work Career options If you have any questions, please contact Lea Rohde, Manager Physician Recruiting on +41 61 377 70 27. Interested in joining us? If so, we look forward to receiving your complete online application. Please submit your application in English and note that the interview process will be conducted in English.
Requisitos
- Titulación en Informática, Data Science o un campo relacionado, o experiencia profesional equivalente
- 5+ años de experiencia profesional como ingeniero de datos o en un puesto comparable
- Experiencia práctica con dbt
- Sólidos conocimientos de SQL
Ventajas mencionadas
- Modelo de trabajo híbrido
- Teletrabajo flexible
- Oportunidades de aprendizaje continuo
- Acceso a tecnologías modernas
- Opciones de trabajo flexibles
- Trabajo a tiempo parcial
- Oportunidades profesionales
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