CI/CDInfrastructure as CodeSQLData TransformationData modelingMachine learningAI-enabled toolsData-Ingestion pipelinesCloud ArchitectureIT HealthcareData StewardshipCollaboration with Data Engineers
Languages
EnglishFrenchGerman
The role
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Data Engineer - Analytics Platform (m/f/d) 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.
01Design, build and operate scalable data pipelines using Azure Data Factory and Databricks (batch and streaming).
02Develop and maintain robust dimensional data models (Kimball) using dbt within a modern bronze/silver/gold medallion architecture.
03Create and maintain semantic models, dashboards and reports in Power BI for internal stakeholders and external customers.
04Collaborate with business stakeholders to translate data requirements into reliable and scalable technical solutions.
05Own your data products end-to-end, ensuring high quality, documentation, monitoring and operational excellence.
06Contribute to infrastructure as code (Terraform), CI/CD processes and code reviews to continuously improve our platform.
07Ensure high standards of data quality, consistency and governance across all data products and pipelines, including the secure handling of sensitive data.
08Use AI tools such as as an integral part of your daily engineering workflow to accelerate development, improve quality and solve complex data challenges.
Requirements
↳Fluent English and French (spoken and written). German 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., 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.
Benefits
＋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.
Tech stack
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Azure DatabricksdbtPower BIAzure Data FactoryTerraform
Company
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Medgate AG
Healthcare
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.
