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Energy Aspects is shaping its marketing team to support the next chapter of the company's growth. As part of this evolution, AI sits at the heart of the marketing function: automated workflows do the heavy lifting,…
We are seeking a skilled and versatile Software Engineer (Automation & IT) to join our dynamic IT team, with a focus on designing, building, and maintaining automation and system integration solutions across the…
Geoasset and infrastructure data sits at the heart of Energy Aspects' analytics. The refineries, pipelines, LNG terminals, power plants, storage and more that shape global energy and commodity flows anchor our…
Energy Aspects is seeking a Senior Software Engineer to join our Engineering team. The ideal candidate will have worked with large volumes of data, handled large scale migrations and is able to translate business…
We are seeking a talented Frontend Engineer with deep expertise in React to join our Engineering team. You will be responsible for building and maintaining high-performance, data-centric web applications that integrate…
Energy Aspects currently has an exciting opportunity available for a QA Engineer to join our team in Athens. The successful candidate will be responsible for writing automated tests, debugging, and defining correct…
At Energy Aspects, our talented people and teams are the foundation of our success. We are seeking an accomplished Senior HR Business Partner to join our team in this pivotel role supporting our vital Global Research…
Founded in 2012, we are an independent research consultancy that has enjoyed phenomenal growth since our inception, and we have very ambitious plans to continue our upwards growth trajectory. We are passionately…
Build and maintain large-scale geospatial data pipelines on Kubernetes, collaborating with data scientists and ML engineers to enable AI-driven energy market analytics.
Builds large-scale AI pipelines to process Earth observation data, integrating remote sensing with machine learning for climate analytics.
Build and maintain large-scale geospatial data pipelines for Earth observation data using Python, Kubernetes, Docker, and cloud services.
Build and maintain large-scale geospatial data pipelines on Kubernetes, integrating remote sensing and AI for energy-market intelligence.
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