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Field
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platforms Experience administering, maintaining, and optimizing databases (e.g., PostgreSQL, MSSQL, Oracle) Experience configuring and managing infrastructure monitoring/analysis systems (e.g., Nagios, Zenoss
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(PostgreSQL), web servers (Tomcat), APIs, and scientific workflows using Python/Java; comfortable handling research data movement and management. Benefits flexible working options to support you to balance your
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-scale structured and geospatial datasets, including querying and managing data in PostgreSQL/PostGIS environments. · Design and maintain data pipelines for integrating and processing multi-source data
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the cloud. Implementation of pipelines to collect real-time data from IoT sensors. Expertise in IoT-oriented databases (e.g., InfluxDB, PostgreSQL, Firebase, etc.). Knowledge of data visualization tools (e.g
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for Python/R). Experience with PostgreSQL and relational database management, including ETL pipeline design and maintenance. Experience with geospatial tools (QGIS, GeoPandas, Folium) for agricultural
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Visual Studio Code and PostgreSQL. You can express yourself confidently in both German and English. What we offer Exclusive insight: In collaborative work with the scientists of our unit, you gain
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IT and three (3) years of project management/principal investigator. Proficiency in software development (System design, Git, NodeJS, Python, Docker, RESTful, Angular, TailwindCSS, PostgreSQL/PostGIS
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or more of the following FastAPI, PostgreSQL and/or asynchronous workflows (Apache Airflow, Celery, RabbitMQ). 4. Significant experience in Python and experience using common software development
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front end development (React is desirable). Some experience with one or more of the following FastAPI, PostgreSQL and/or asynchronous workflows (Apache Airflow, Celery, RabbitMQ). Signifiscant experience in
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-dimensional datasets. Architect data-intensive systems: design secure, scalable APIs and data models for clinical and genomic data using PostgreSQL (Supabase or similar) and AWS, balancing performance across