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:
- Teamwork: We are a family and 'fly and process' together.
- Passion: We wake up every morning to change the world.
- Simplicity: Less is more. Technology should simplify our lives, not complicate 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, generates key yield forecasting data. In addition, it 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 on their gross margin:
- Crop Management
- Production yield and logistics
- Economic yield
- Climate change risk assessment
LAYERS helps minimize these risks through 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 four squads: DevOps, BackEnd, UX/UI, and Data Intelligence. Three to 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 remuneration system that adapts the salary to your needs
LAYERS is composed of a web app, mobile app, and API. 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.
What is your mission in HEMAV?
The 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 for present and future LAYERS users.
This mission is deeply linked with the design, technology, and thus, the team involved in the application of software development, spatio-temporal statistics, agronomical knowledge, and AI in LAYERS' solution. Statistics, maths, geographical information, software development, computer vision, and other disciplines converge in the work of the whole team.
Global improvements in the robustness and scalability of LAYERS will also be part of the tasks this person will face.
Specific Tasks
- Contribute to the design, planning, and implementation of the LAYERS PredTech, LAYERS core, and LAYERS data-related developments, increasing the value added to our clients, the scalability, and the robustness of the system.
- Implement crop-specific and product-specific solutions designed in collaboration with the agronomical, back-end, front-end, user experience, data-science, and data-engineering engineers and PhDs.
- Contribute to the maintenance and evolution of the toolset and functional processes in LAYERS, following the coding standards and methodologies established.
- Provide technical support to clients facing defects detected by the team or reported by users.
- General continuous improvement of LAYERS.
- Punctual support to stakeholders in business and operations.
Responsibilities and Functions
- Work on tasks related to LAYERS development, together with other experts in 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.
- Act as the contact point with internal stakeholders in punctual cases related to developments carried out.
How will this role be evaluated?
- Team goals following OKR philosophy established with the Team Lead and Product Owner.
- Company goals.
Location: +- 3h from BCN (Spain) time
We are very happy with asynchronous work; however, we believe in teamwork and peer programming. If you are in the BCN area, you will always be welcomed at the office.
Requirements
Technical Skills
- Professional python software development in Data environment > 2 years.
- Docker
- AWS Cloud technologies, especially AWS Glue, Athena, S3, and step-functions.
- Nice to have:
- MLOps: DVC
- MLFlow
- Terraform (Infra as Code)
- NoSQL (AWS DynamoDB)
- Spatio-temporal data
- Time Series
- GraphQL / SQL
- DevOps mindset CI / CD
- Unit testing
Soft Skills
- Team player
- Agile methodologies: comfortable working with user stories and liturgies.
- Result-oriented
- Quality-oriented
- Autonomous
- Benchmarking of new techniques and technologies related to the position.
- Challenge love
Benefits
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
Our hiring process has been refined over time and includes the following steps:
- Conversation with Product Owner to present the company and the position.
- Tech-Talk with the team.
- Basic exercise.
- Onboarding.
Join HEMAV Technology, a dynamic company with a talented team. As a Data Engineer, you'll have the opportunity to shape innovative solutions and make an impact. Apply now!
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