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2 data analytics engineer jobs found in Erlangen

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Full time  (2)
easyRadiology AG
18/03/2026
Full time
DevOps Engineer (m/w/d) - Home Office in Vollzeit
easyRadiology AG Homeoffice & More, Luitpoldstraße, Erlangen, Germany
easyRadiology   AG   is a young and agile software company in the health tech sector, headquartered in Cologne. As the market leader for cloud-based transfer of medical image and report data to referring physicians and patients, we are shaping the future of radiology every day. Through continuous dialogue with our customers, we are constantly developing our product portfolio, addressing their challenges with efficient, digital solutions, and thereby accelerating our growth in Germany and international markets. Our patient and referring physician portal serves as the foundation for this, and is known in radiology as the fastest and simplest system for image exchange. To continuously improve our products, we are looking for   a   DevOps Engineer (m/f/d) to start   immediately . Your tasks The detailing, implementation, and testing of requirements across the entire system and product landscape You create robust and scalable structures. Proactive introduction of...
Codefy GmbH
11/03/2026
Full time
Senior DevOps Engineer (m/w/d) im KI-Startup
Codefy GmbH Homeoffice & More, Luitpoldstraße, Erlangen, Germany
We are Codefy – a successful technology startup from Heidelberg that won the Baden-Württemberg State Prize for Young Companies. Over the past six years, we have created a unique software solution with AI assistance functions that helps the judiciary, public administration, and leading companies in Germany to handle large and complex cases in a fraction of the time and with greater security. We are looking for a dedicated new team member to support us in the area of ​​DevOps on a full-time basis. Ideally, occasionally in the office in Heidelberg, otherwise remote work from Germany is also possible. Tasks Operation and maintenance of Kubernetes clusters in on-premises and cloud environments Automation of deployments and build processes using CI/CD pipelines Infrastructure deployment and configuration using Ansible and Terraform Use of monitoring and alerting tools to monitor stability and performance Error analysis in case of malfunctions and server outages...
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