We would like to introduce position Scientific software and data engineer with Python
• Developing algorithms for retrieval, ingestion and analysis of real-time geostationary satellite imagery and for modelling of solar irradiance based on satellite, meteorological and other data
• Extracting knowledge from scientific literature and implementing it as software modules
• Refactoring and integration of existing codebase for improved performance and functionality
• Contributing to an overall improvement of accuracy, timeliness, resilience, and other aspects of the models
• Testing, deployment and monitoring of software/services
• Cooperation with other team members in the spirit of consistent and agile development
• Staying up-to-date on trends in the field and company priorities
• Degree in Computer Science/Engineering/related and working experience in the field
• Solid programming capabilities in Python, writing clean and structured code
• Experience with multidimensional array data manipulation (e.g. NumPy)
• Experience with bash / Linux terminal
• Good grasp for detail, diligence and accomplishment
• Innovative thinking, forward looking, team spirit, focus on customer
• English (at least professional working proficiency, both written and spoken)
• EU citizenship or a valid residence permit in Slovakia
• Starting date: as soon as possible
Optional / preferred:
• Previous expertise or experience in any of the domains is welcome:
• Python packaging, Git, CI/CD
• Big data storage in multi-dimensional data formats (NetCDF, Zarr, TileDB, HDF5, etc.)
• Parallel, concurrent, asynchronous paradigms and coding
• Docker, Kubernetes; cluster or cloud computing (s3)
• Precompiled languages (C++, Fortran, Rust, etc.) and integration with Python
• Python performance boosting with numba, cython, numexpr etc.
• Degree and/or relevant work experience in the Geo/Earth/Planetary sciences
(such as remote sensing, atmospheric science, meteorology, geoinformatics, GIS)
• Mathematical modelling and statistics
• Solar energy, photovoltaics
• Competitive salary and performance-based bonuses
• Flexible working hours and possibility of home office – based on team agreement
• Sick days
• Technical growth encouraged via opportunity to participate at conferences, workshops, and
courses
• Personal growth opportuni.es, possibility to work on different projects
• Budget for personal development (seminars, conferences, technical courses, language
courses)
• Modern office located in SKY PARK offices (Bratislava) in which you can find chill areas,
workout area and standing desks
• Free refreshments and fruit
• Parking in the company parking lots
• Green transportation friendly environment - bike parking lots (in building), showers (in the
office), bike lanes in SKY PARK proximity, EV charging stations (in building)
• Mulitcultural and international environment, communication in English
• Work in fast growing sector of renewable energy
- Our partner is a technology and consultancy company servicing companies involved in the development and opera9on of solar power plants.
- Thanks to 21 years of focused research and technology developed in-house, they have become a leader in the field.
- They provide meteorological data, energy evaluation software and technical consultancy primarily related to evaluation and management of solar power production.
I, hereby consent to the processing of my personal data contained in the application for admission to employment, my CV, personal questionnaire, personal data obtained from the contact form on the company’s website and personal data obtained during the interview with Grain Slovakia s. r. about. according to Act No. 18/2018 Coll. on data protection (hereinafter “Act No. 18/2018 Coll.”) to Grain Slovakia s. r. o. for the purpose of employment mediation. The consent may be withdrawn in writing at any time, otherwise it has expired after 3 years from the date of its consent, and the data will be anonymized and further used for statistical purposes only. I also note that the rights of the data subject are regulated in § 59 et seq. of Act No. 18/2018 Coll. Hereby I declare, that the conditions of the processing of my personal data, I fully understand and consent knowingly, voluntarily, and without reservation.