Senior System Support Engineer for Data Science Platforms

Work mode – fully remote. Rate: up to 37 EUR/h on B2B. Contract length – 6 months with possibility of extensions. Start – 01.01.2026. Language – English. Industry - pharmaceutical. Recruitment process - 2 interviews with the client. Workload : Full time. Senior System Support Engineer for Data Science Platforms Are you excited about working with the latest technologies while providing exceptional support for our Research and Early Development (R&ED) units? Do you enjoy engaging with over 1500 highly skilled users globally to ensure they have the IT platforms and support they need for advanced scientific computing and analytics? If yes, you might be the person we are looking for What's in it for you? We are looking for a new remote Senior System Engineer as part of our agile Computational Scientific Platforms team. This department is responsible for developing, implementing, operating, maintaining, and supporting the data, middleware, and IT infrastructure used across our R&ED units, both on-premises and in the cloud. You will work within a scrum team, collaborating closely with scientists, data scientists, and IT vendors, necessitating a pro-active approach along with excellent communication and collaboration skills. In this role, you will be responsible for: Providing comprehensive support for the infrastructural environment, both on-premises and in the cloud. Engaging with users to understand their needs, guiding and providing tailored support to enhance their productivity, including writing documentation. Channeling user feedback to agile team user stories and feature definitions to help maintain and improve the platform and solutions. Assisting in improving the platform by focusing on automation to create efficient processes. Sharing knowledge and working together with the team to share learnings and experiences. Testing and bug fixing. Collaborating with cross-functional teams to deliver solutions and resolve issues. Working on root cause analysis to resolve technical issues promptly. Working on governance and security together with System Manager. Joining us will present you with numerous opportunities to develop your skills, pursue your ambitions, and work with the latest technologies in data engineering, HPC, and cloud environments. Requirements: We are looking for a candidate who is ready for a purposeful career and has a passion for supporting advanced scientific computing and analytics. You will likely meet the following qualifications: At least a bachelor's degree with strong emphasis on IT systems support and/or Scientific Computing or related fields. 5 years of experience in IT infrastructure development & support or a similar role. Experience with the following technologies: Linux / Bash Powershell DevOps CI/CD practices Python, Git, GitHub, etc. Containerization (Docker / OCI / Podman) Jupyterhub, Jupyterlab, and running Jupyter Notebooks Active Directory (AD) / Single Sign-On (SSO) / Kerberos and Oauth You understand the importance of ensuring stable platforms and a reliable infrastructural environment. You are excited to work with new technologies and concepts, and you possess strong team-oriented and service-minded qualities. Finally, you have professional proficiency in written and spoken English. In this position, you will also have the opportunity to enhance your skills in the following technologies: Infrastructure as Code (IaC) with Puppet, Terraform Container Orchestration (Kubernetes / Nomad) Cloud environments (AWS & Azure) incl. Storage, Compute, Networking Working at our company: We are a leading pharmaceutical company within diabetes, and by working with us, you will have the opportunity to contribute to patient care on a global scale. From research and development to manufacturing, marketing, and sales, we are all working to make a difference. The team is ready to welcome you onboard