Data Engineer - Analytics Platform (m/f/d) 80-100%

ppWorking place: Allschwil and Home- OfficeFor 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. /ppThose 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. /ppWith flexible working models and reliable duty scheduling, Medgate makes it easy to combine work, leisure and family life. /ph3About the role /h3pAt 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. /ppYou’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. /ph3Your tasks /h3ulliDesign, build and operate scalable data pipelines using Azure Data Factory and Databricks (batch and streaming). /liliDevelop and maintain robust dimensional data models (Kimball) using dbt within a modern bronze/silver/gold medallion architecture. /liliCreate and maintain semantic models, dashboards and reports in Power BI for internal stakeholders and external customers. /liliCollaborate with business stakeholders to translate data requirements into reliable and scalable technical solutions. /liliOwn your data products end-to-end, ensuring high quality, documentation, monitoring and operational excellence. /liliContribute to infrastructure as code (Terraform), CI/CD processes and code reviews to continuously improve our platform. /liliEnsure high standards of data quality, consistency and governance across all data products and pipelines, including the secure handling of sensitive data. /liliUse 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 /ulh3Your profile /h3h3Must have /h3ulliFluent English and French (spoken and written). German is a strong advantage. /lili5+ years of professional experience as a Data Engineer or in a comparable role. /liliHands-on experience with dbt and modern data transformation practices. /liliExperience working with AI-powered development tools (e.g. Claude, ChatGPT or GitHub Copilot) to increase engineering productivity. /liliSolid SQL skills and experience building reliable data pipelines. /liliA degree in Computer Science, Data Science or a related field, or equivalent professional experience. /li /ulh3Nice to have /h3ulliExperience with Azure Databricks and Azure Data Factory. /liliKnowledge of dimensional data modelling (Kimball) and medallion architecture. /liliExperience building semantic models, reports and DAX in Power BI. /liliFamiliarity with Infrastructure as Code (Terraform) and CI/CD pipelines. /liliExperience with Unity Catalog or comparable data governance solutions. /liliPython experience for data engineering or automation. /liliExperience working with Data Vault environments. /liliExperience deploying or supporting machine learning solutions in production. /liliExperience in healthcare, insurance or other highly regulated industries. /li /ulh3What we offer /h3ulliWork on meaningful projects that help shape the future of digital healthcare. /liliModern cloud-native technology stack including Azure Databricks, dbt, Power BI and AI-powered engineering tools. /liliHybrid working model with two office days per week (Tuesday and Wednesday) and flexible remote working on the remaining days. /liliHigh level of ownership and the opportunity to actively shape our growing data platform. /liliCollaborative, international working environment with short decision-making paths. /liliContinuous learning opportunities and access to modern technologies. /li /ul /p #J-18808-Ljbffr