Python Job: Data professional - Remote Sensing

You and your job
You’re contributing to production and income levels of smallholder farmers in developing countries by supporting them in their transition to agroforestry and at the same time combating climate change, land degradation and food insecurity at a large scale. A new initiative within Rabobank uses satellite images to measure the farmer's carbon storage and translate this into carbon removal units. This gives the smallholder farmers access to the international market for voluntary carbon credits. This is how we are contributing to “growing a better world together” as well as building a stronger, futureproof Rabobank.

Facts & Figures

• 40 hours per week
• 43,822 Rabobank colleagues around the world

Key responsibilities
As part of the Remote Sensing team, your responsibility is to support the head of remote sensing to build a strong remote sensing capability. You are at the heart of the knowledge of the Remote Sensing team – you are the expert. Your responsibilities consist of:

• Pre-processing, management, analysis and fusion of diverse satellite and air-borne sensor data.
• Developing and improving statistical predictive models relation to ground truth data.
• Managing and optimizing robust and reliable data pipelines;
• Data collection, quality control, and documentation
• Extraction of information from large geospatial/spectral datasets;

With each other
Collaboration is key in the way we work. The Wholesale and Rural Innovation team joins forces to realize the innovation strategy. In addition to your work in ACORN, you will work in multiple teams that are developing innovative propositions that require Remote Sensing expertise and operational work to be delivered.

You and your talent
Experience in structured problem solving, knowledge of innovation management, and strong conceptual and analytical thinking are indispensable for the position in the Remote Sensing team. In addition, it is important that you recognize everything on the checklist below:

• Master’s degree (MSc): A degree in Remote sensing, Geoinformation science, Machine Learning, Data Science, or Geography, Geoscience, Geostatistics, or similar field);
• Experience processing geospatial data;
• Experience with GIS mapping, data processing, geodatabases, and analysis software (i.e. Esri, Envi, ArcMap, QGIS)
• Familiar with PostGIS and/or other Geospacial databases and general experience with geographical information systems
• Experience in algorithmic programming and data visualization using R, Python, and/or MATLAB
• Hands-on experience building complex ETL data pipelines (PySpark) from multiple data sources is an advantage
• Strong background with Cloud computing and storage including Microsoft Azure, Databricks and Azure Data Factory
• Strong analytical skills, to able to clearly outline your analysis to other parties;
• A passion and talent for complex problem solving, combined with strong judgement and decision making capabilities.
• Strong collaboration skills combined with service orientation;
• Fluent in English, both spoken and written.
• Strong motivation to contribute to the goals that we aim to realize – improving the livelihoods of smallholder farmers, contributing to fighting climate change, and providing support to internal team and external clients.

This is what we offer you

• up to € 6.040 gross per month (scale 9)
• thirteenth month's salary and 8% holiday allowance
• a budget of € 750 to set up your home working space and a monthly home working allowance of up to € 40

This is a selection of the terms of employment for a Data Professional based on a 40-hour working week. You can find all terms of employment on rabobank.jobs/en/conditions-of-employment.

You and the job application process

• You can apply till the 9th of September, 2022.
• Any questions about the job content? Contact: Mila Luleva, Business Development Lead via [email protected].
• Any questions about working at Rabobank and the process? Christiaan van der Horst, IT Recruiter via [email protected].
• We will hold the interviews through a video call and/or in the Utrecht office.
• You can find answers to the most frequently asked questions on rabobank.jobs/en/faq.
• A security check is part of the process.
• We respect your privacy.