Data Engineer

hace 1 mes

En remoto, España HEMAV Technology A tiempo completo

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 by 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 2 million Hectares.

**❤️ HEMAV values are**:

- Teamwork: We are a familiy and 'fly and process' together
- Passion: We wake up every morning to change the world
- Simplicity: Less is more. Technology should simplifies our lives, not complicates it
- Excellence: We pursue our best version and learn from our values
- Integrity: What you see is what we are
- Innovation: We have a creative attitude against challenges

LAYERS, our software, offers analytics to the agricultural sector with a large direct impact. For example, clients can improve the efficiency in
treatments (sowing, fertilization, irrigation, etc.) and generate
estimations in yield (tonnes per hectare), as well as quality estimates
(e.g. soybeans protein quantity) for different crops. We know that
producers, the agroindustry itself, or even insurance companies and
traders in the agronomical sector are facing three main challenges, with

**a large impact in their gross margin**:

- Crop Management
- Production yield and logistics
- Economical yield
- Climate change risk assessment

LAYERS helps minimize these risks through a high-quality continuous monitoring and predictions. We want to make LAYERS the core of all the yield-related decisions in the agribusiness value-chain using data and statistics. Our slogan is

“Reshaping the future increasing land efficiency”

The LAYERS Product Team is
the main area of the company, where 13 persons are distributed in three

**squads**: QA-Tooling, Agronomy and UX/UI. Three-four weeks sprints are
combined with sprint demos where all the company is updated with the
news in the product by all the members of the product team.

Some of the things you should consider when joining our team are:

- Young and friendly environment
- Flexible work-hours
- 100% remote work
- Flexible remuneration system that adapts the salary to your needs
- Extra holidays

LAYERS, is composed of a web-app and also a mobile-app. Our software constitutes the heart of the customer ecosystem where data analysis and prognosis are presented in analytical and insightful web dashboard formats. Thanks to this, our customers can monitor their crops and perform better business decisions in their agro-industrial companies.

Tasks

️ Position

What is your mission in HEMAV?

Main goal of this position is to have a key role in the development of software, models, repositories, and continuously work in improving the Data infrastructure, models and LAYERS products development. Exchanging information and knowledge with data scientists, agronomists, analysts and other experts in the company to identify, design and implement the models that will make the change in present and future LAYERS users.

Global improvements in the robustness and scalability of LAYERS will as well be part of the tasks this person will face.

✍ Tasks

**Specifically, this person will**:

- Lead the design, planning and implementation of the Data-related developments so LAYERS can increase the value added to our clients, the scalability, and the robustness of the system.
- Implement crop-specific solutions designed in collaboration with the agronomical and data-science team.
- Produce, evolve and maintain the toolset and functional processes in the framework of the data handling and modeling, following the coding standards and methodologies established.
- Technical support to clients facing defects detected by the QA team or reported by clients.
- General continuous improvement of LAYERS
- Punctual support to stakeholders in business and operations.
- ️ Responsibilities and functions:

- Work on tasks related to LAYERS core development and Data Science, together with other experts on different fields and technologies, to develop and deploy tools and techniques that allow HEMAV to extract the maximum value for the users.
- Join agile liturgies such as user stories refinement, sprint planning, daily meetings, product reviews and retrospectives.
- Contact point with internal stakeholders in punctual cases related with developments carried out.

How will this role be evaluated?
- Personal goals established with the manager
- Team goals established with the Product Owner
- Company goals

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