Data Engineer - Analytics Platform (m/f/d)

ph3Working place: Allschwil and Home- Office /h3 pFor 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. /p pThose 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. /p pWith flexible working models and reliable duty scheduling, Medgate makes it easy to combine work, leisure and family life. /p h3About the role /h3 pAt Medgate, data plays a key role in shaping the future of healthcare. As a bData Engineer /b, you'll design, build and operate our modern cloud data platform, enabling reliable insights for internal teams and customer-facing solutions. /p pYou'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. /p ul liDesign, build and operate scalable data pipelines using Azure Data Factory and Databricks (batch and streaming). /li liDevelop and maintain robust dimensional data models (Kimball) using dbt within a modern bronze/silver/gold medallion architecture. /li liCreate and maintain semantic models, dashboards and reports in Power BI for internal stakeholders and external customers. /li liCollaborate with business stakeholders to translate data requirements into reliable and scalable technical solutions. /li liOwn your data products end-to-end, ensuring high quality, documentation, monitoring and operational excellence. /li liContribute to infrastructure as code (Terraform), CI/CD processes and code reviews to continuously improve our

platform. /li liEnsure high standards of data quality, consistency and governance across all data products and pipelines, including the secure handling of sensitive data. /li liUse AI tools such as Claude as an integral part of your daily engineering workflow to accelerate development, improve quality and solve complex data challenges. /li /ul h3Your profile /h3 h3Must have /h3 ul libFluent English and French (spoken and written). German is a strong advantage. /b /li lib5+ years of professional experience as a Data Engineer or in a comparable role. /b /li libHands-on experience with dbt and modern data transformation practices. /b /li libExperience working with AI-powered development tools (e.g.

Claude, ChatGPT or GitHub Copilot) to increase engineering productivity. /b /li liSolid SQL skills and experience building reliable data pipelines. /li liA degree in Computer Science, Data Science or a related field, or equivalent professional experience. /li /ul h3Nice to have /h3 ul liExperience with Azure Databricks and Azure Data Factory. /li liKnowledge of dimensional data modelling (Kimball) and medallion architecture. /li liExperience building semantic models, reports and DAX in Power BI. /li liFamiliarity with Infrastructure as Code (Terraform) and CI/CD pipelines. /li liExperience with Unity Catalog or comparable data governance solutions. /li liPython experience for data engineering or automation. /li liExperience working with Data Vault environments. /li liExperience deploying or supporting machine learning solutions in production. /li liExperience in healthcare, insurance or

other highly regulated industries. /li /ul h3What we offer /h3 ul liWork on meaningful projects that help shape the future of digital healthcare. /li liModern cloud-native technology stack including Azure Databricks, dbt, Power BI and AI-powered engineering tools. /li liHybrid working model with two office days per week (Tuesday and Wednesday) and flexible remote working on the remaining days. /li liHigh level of ownership and the opportunity to actively shape our growing data platform. /li liCollaborative, international working environment with short decision-making paths. /li liContinuous learning opportunities and access to modern technologies. /li /ul pIf you have any questions, please contact Lea Rohde, Manager Physician Recruiting on . /p /p