3 jobs found in St. Gallen

Product Development| Full Time 80-100% | St. Gallen, Switzerland At Meteomatics, we're answering this question with the most accurate weather data, helping several hundreds of companies and research institutions worldwide to accelerate the energy transition, reduce the business’ impact on the environment, and make products and services safer for society. Meteomatics is growing faster than you can say lightning! And we're now looking for an equally dynamic C++ / Python Software Engineer to join us in St. Gallen! You will work in one of our API teams developing services and algorithms that browse petabytes of weather data blazingly quick to provide real-time insights for our customers worldwide. Your responsibilities Develop and optimize high-performance algorithms for forecasting and processing weather data to serve millions of API queries per day (C++) Develop services and scripts (Python) for robust data acquisition Manage storage,...

"We inspire our clients – with expertise, attention to detail, and reliability." To enable well-informed decisions, we provide diverse data from our central data warehouse and develop customized analyses for various needs. Are you interested in inspiring your internal clients within the controlling team? Then join us in St. Gallen. Press Split You will achieve this You are responsible for the smooth operation of our evaluations, coordinate and process evaluation requests from the specialist departments and provide meaningful data for day-to-day business. Together with various departments, you clarify requirements, prioritize evaluation needs and provide support with data-based questions. You will automate and maintain recurring reports and data processing independently. You actively participate in cross-functional projects and working groups and support the further development of our processes and applications. With...

Data Science Research Assistant / Data Lake Engineer (m/f/d) 70 % (limited, by 01.08.2026) Your tasks Responsibilities and Project The position supports the development of a research data lake for empirical work with large-scale financial, textual, licensed, and partly confidential datasets. The objective is to build a robust, well-documented, and reproducible data infrastructure that allows researchers to ingest, store, process, document, and analyze data efficiently and securely. Research and infrastructure tasks will include data engineering, coding, documentation, and coordination with researchers and IT/platform providers. Core tasks include, among others: Design and implementation of the research data lake Support the design of a scalable data architecture for approximately 5 TB of research data Structure data into raw, cleaned, and analysis-ready layers Develop clear naming conventions, folder structures, access rules, and...