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Join a forward-thinking AgriTech startup dedicated to reshaping the future of agriculture through innovative software solutions. As a Data Engineer, you will play a crucial role in developing and enhancing LAYERS, a cutting-edge platform that leverages AI and satellite technology to optimize agricultural practices. Collaborate with a passionate team of experts, utilizing your skills in Python and AWS to tackle real-world challenges in the agrifood industry. Enjoy the flexibility of remote work while contributing to a mission that promotes sustainability and efficiency in food production.
At HEMAV, we are an AgriTech StartUp founded in 2012, working passionately on Data Science in the agrifood industry with the purpose of generating more food with less environmental impact.
We use a unique approach, based on Artificial Intelligence using satellite technology and other data sources (drone, meteo, soil, etc.).
Users of our technology leverage their decision-making systems on information and knowledge generated on a field-by-field basis, with customized per-user models.
The HEMAV family is currently composed of a team of around 40 persons with offices in Spain, Brazil, Peru, and the USA. We have around 50 regional partners distributed between more than 17 countries in Europe, America, and Africa. More than 5,000 users have access to the platform with service in 6 million Hectares.
HEMAV values are :
LAYERS, our software, generates key yield forecasting data. It offers analytics to the agricultural sector, helping clients improve treatment efficiency, generate yield and quality estimations for different crops. It addresses challenges like crop management, production yield and logistics, economic yield, and climate change risk assessment.
Our slogan is :
Reshaping the future by increasing land efficiency
The LAYERS Product Team comprises 13 members across four squads: DevOps, BackEnd, UX/UI, and Data Intelligence. They work in three to four-week sprints with demos to update the entire company.
Tasks
Position
What is your mission in HEMAV?
The main goal of this position is to play a key role in developing software, models, repositories, and improving data infrastructure, models, and LAYERS product development. You will collaborate with data scientists, agronomists, analysts, and other experts to design and implement models that will impact current and future users.
This involves software development, spatio-temporal statistics, agronomical knowledge, and AI in LAYERS’ solutions, converging disciplines like statistics, mathematics, geographical information, computer vision, and more.
Global improvements in robustness and scalability of LAYERS will also be part of your responsibilities.
Specific Tasks
Specifically, this person will :
Responsibilities and Functions
Evaluation Criteria
How will this role be evaluated?
Location
Location: +- 3h from BCN (Spain) time
We support asynchronous work but value teamwork and peer programming. If you're near BCN, you're always welcome at the office.
Requirements
Technical Skills
Nice to have :
Soft Skills
Benefits
Our hiring process includes:
Join HEMAV and shape innovative solutions as a Data Engineer. Apply now!