DevOps Data Engineer

Deine Rolle im Team

• Bridge the gap between data scientists, bioinformaticians and IT experts to develop and deploy practical solutions for clinical applications and biomedical research projects
• Contribute to the data life-cycle of a state-of-the art drug screening platform and both standardized and exploratory biomarker research projects
• Design and deploy SQL databases and object stores on on-prem and cloud infrastructure
• Develop, standardize and execute data processing pipelines (ETL) for biomedical data
• Taking on the role of a data steward, ensuring that all data activities follow GDPR guidelines and adhere to the best cyber security standards
• Design and implement basic web applications for data access and visualization for both in- house as well as scientific and industry partners
• Deploy and maintain docker containers for various data science related storage and computational services
• Using CI/CD principles to turn existing web app prototypes into tested, easy-to-deploy MVPs
• Work together with IT team to automate company processes

Technologien und Skills

• SQL
• Linux
• Google Cloud Platform
• Git
• R
• Minio
• GraphQL
• AWS
• Kubernetes
• Python
• Docker

Unsere Erwartungen an dich:

Qualifikationen

• You feel at home when working with the Linux command line
• You can navigate and configure cloud and on-premise compute resources (e.g. AWS, GCP)
• Make-it-work-mentality: you have strong skills in finding practical yet sustainable solutions
• Documentation-mentality: you understand the value of writing concise and effective documentation for colleagues
• Good listening, communication, and personal skills to cooperate with non-technical staff
• Very good command of English, written and spoken
• Nextflow
• GraphQL
• Kubernetes
• Collaborative working tools (git, ticketing systems)
• Biomedical data (e.g., pathology images, flow cytometry, NGS, metabolomics, microbiome)
• Image analysis and computer vision (including machine learning and conventional methods) R programming language
• Working in an ISO certified environment
• German language skills are a plus, but not required to thrive in this position

Erfahrung

• You are experienced with Docker (experience with container orchestration tools is a plus)
• You have hands-on experience with structured databases (user requirements, design, implementation, maintenance, and setting up ETL pipelines)
• You have hands-on experience with cloud and on-premise object stores (e.g. AWS S3, MinIO)
• You have experience with python or equivalent for data visualization and web development

Ausbildung

• You have a PhD or MSc (with at least 5 years of working experience in the area) in computer science or related fields