Data Intelligence - Python Software Developer

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, satellite technology, and other data sources (drones, meteorological data, soil data, etc.).

Our technology provides field-specific information and knowledge, enabling better decision-making for our users. The HEMAV family comprises around 40 team members across Spain, Brazil, Peru, and the USA, with approximately 50 regional partners in over 17 countries across Europe, America, and Africa. More than 5,000 users access our platform, which covers 6 million hectares.

HEMAV values include:

• Teamwork: We are a family and work together seamlessly.
• Passion: We wake up every morning to change the world.
• Simplicity: Less is more; technology should simplify our lives.
• Excellence: We strive for our best and learn from our values.
• Integrity: Transparency and honesty define us.
• Innovation: We embrace creativity in facing challenges.

Our software, LAYERS, generates key yield forecasting data and offers analytics with significant impact on the agricultural sector. It helps clients improve treatment efficiency, estimate yields (tonnes per hectare), and assess crop quality (e.g., soybean protein content). Main challenges addressed include:

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

LAYERS aims to minimize these risks through continuous monitoring and predictions, becoming central to yield-related decision-making in the agribusiness value chain. Our slogan is:

Reshaping the future by increasing land efficiency

The LAYERS Product Team consists of 13 members organized into four squads: DevOps, BackEnd, UX/UI, and Data Intelligence. We operate in two to four-week sprints with demos to update the entire company on product progress.

Tasks

Position

What is your mission in HEMAV?

The main goal is to play a key role in developing software, models, and repositories, and to continuously improve the data infrastructure, models, and product development of LAYERS. You will collaborate with data scientists, agronomists, analysts, and other experts to design and implement models that will significantly impact current and future users.

This role involves integrating software development, spatio-temporal statistics, agronomical knowledge, and AI in LAYERS’ solutions. The work converges across disciplines such as statistics, mathematics, geospatial information, software development, and computer vision.

Enhancing the robustness and scalability of LAYERS will also be part of your responsibilities.

Specific Tasks

Specifically, you will:

• Contribute to designing, planning, and implementing LAYERS projects, enhancing client value, scalability, and system robustness.
• Implement crop-specific and product-specific solutions in collaboration with various engineering and scientific teams.
• Maintain and evolve the toolset and processes, adhering to established coding standards.
• Provide technical support to clients encountering defects or issues.
• Continuously improve LAYERS functionalities.
• Support stakeholders in business and operations as needed.

Responsibilities and Functions

• Work with multidisciplinary teams to develop tools and techniques maximizing value for users.
• Participate in agile ceremonies like user story refinement, sprint planning, daily stand-ups, reviews, and retrospectives.
• Act as a liaison with internal stakeholders for development-related inquiries.

Evaluation Criteria

How will this role be evaluated?

• Based on team goals following the OKR methodology, established with the Team Lead and Product Owner.
• Alignment with company-wide objectives.

Location

Location: approximately ±3 hours from BCN (Spain) time

We support asynchronous work but value teamwork and peer programming. If you're near Barcelona, you're always welcome at the office.

Requirements

Technical Skills

• At least 2 years of professional Python software development experience.
• Experience with Docker and AWS cloud technologies (e.g., Glue, Athena, Lambda).
• Nice to have:
• MLOps tools like DVC and MLFlow.
• Terraform for Infrastructure as Code.
• NoSQL databases such as AWS DynamoDB.
• Experience with Earth Observation, Remote Sensing, Spatio-temporal data, and Time Series analysis.
• Knowledge of GraphQL/SQL, DevOps practices including CI/CD, and Unit Testing.

Soft Skills

• Team player with an agile mindset.
• Result- and quality-oriented.
• Autonomous and proactive.
• Enthusiastic about benchmarking and challenging new techniques and technologies.

Benefits

Consider joining us for:

• A young, friendly environment.
• Flexible work hours and 100% remote work.
• Flexible remuneration system.
• Extra holidays.

Our hiring process includes:

• An initial conversation with the Product Owner.
• A technical discussion with the team.
• A basic exercise.
• Onboarding.

Join HEMAV and be part of a dynamic team shaping innovative solutions in AgriTech. Apply now!