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A digital healthcare company in Munich is seeking a Data Engineer to design and optimize data pipelines, ensuring data observability. The role requires over three years of experience in Data Engineering, proficiency in SQL and Python, and hands-on cloud technology experience. This position offers a hybrid work model, a monthly subsidy for various expenses, and opportunities for company off-sites. Join us in shaping the future of patient care through innovative data solutions.
Let''s win together. As a Data Engineer (f/d/m) at Temedica, you will work closely with a skilled team of Data Engineers, Scientists, and Developers. You will craft, curate, and onboard users to our Data Products within our cutting-edge Data Mesh architecture on GCP. You will empower Data Scientists and Analysts to uncover patient insights and optimize data operations, driving advancements in the digital healthcare space and improving patient care. Ready to play a key role in shaping the future of data engineering in healthcare? Join us at Temedica!
We use data for the better. We create technology that really helps. At Temedica, we break new ground in digital health and challenge the traditional healthcare model. We believe individualized treatment is a fundamental right of every patient, so we make it happen. We build medical applications and use artificial intelligence to translate patient behavior into sensible interventions. We also combine our application’s data with data sources from research, social listening and key market providers. Based on a B2B SaaS model, we offer novel data monitors that secure previously unknown insights for Pharma and Life-sciences to make personalized medicine a reality.
Join us to explore a variety of employee benefits and ways of working at Temedica. For example:
We are happy to tell you more about our benefits and way of working at Temedica in a first call!
You are looking for an exciting challenge within digital health? We look forward to your application!
At Temedica, we break new ground in the digital health sector and challenge the traditional healthcare model. We structure previously inaccessible data and combine it with real-world evidence to enable the best individualized patient care.