Data Intelligence - Python Software Developer

Job Description : Data Engineer at HEMAV

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 (drone, meteo, soil, etc.). Users leverage their decision-making systems on information and knowledge generated on a field-by-field basis, with customized per-user models.

The HEMAV family consists of around 40 team members with offices in Spain, Brazil, Peru, and the USA. We have approximately 50 regional partners across more than 17 countries in Europe, America, and Africa. Over 5,000 users access our platform, which covers 6 million hectares.

Our Values

• 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 in all we do.
• Innovation : We embrace creativity and challenges.

Product Overview

LAYERS, our software, generates key yield forecasting data and offers analytics to the agricultural sector, impacting treatment efficiency, yield estimations, and quality assessments. We address challenges like crop management, production logistics, economic yield, and climate change risk assessment, aiming to minimize risks through continuous monitoring and predictions.

Our goal is to make LAYERS the core of all yield-related decisions in the agribusiness value chain, under the slogan “Reshaping the future by increasing land efficiency”.

Team and Development

The LAYERS Product Team comprises 13 members across four squads : DevOps, BackEnd, UX / UI, and Data Intelligence. We operate in two to four-week sprints with demos to keep the entire company updated.

What to Consider When Joining

• Young, friendly environment
• Flexible remuneration system
• Remote work flexibility

Role and Responsibilities

Mission : To play a key role in developing software, models, and data infrastructure, collaborating with data scientists, agronomists, and analysts to implement impactful models and solutions, focusing on robustness and scalability.

Specific Tasks :

• Design, plan, and implement data-related developments for LAYERS, enhancing value, scalability, and robustness.
• Collaborate with multidisciplinary teams to implement crop-specific solutions.
• Maintain and evolve the toolset following established standards.
• Provide technical support to clients for defect resolution.
• Continuously improve LAYERS and support business and operational stakeholders.

Evaluation : Based on team OKRs and company goals.

Location

Approximately 3 hours from Barcelona (Spain) time zone. We value asynchronous work but encourage teamwork and peer programming. If you're nearby, you're welcome at the office.

Requirements

Technical Skills :

• Professional Python development in data environments (minimum 2 years)
• Experience with Docker
• Knowledge of AWS Cloud technologies (Glue, Athena, S3, Step Functions)
• Nice to have : MLOps (DVC), MLFlow, Terraform, NoSQL (DynamoDB), spatio-temporal data, time series, GraphQL / SQL, CI / CD, unit testing

Soft Skills :

• Team player with agile experience
• Result and quality-oriented
• Autonomous and proactive
• Love for challenges and benchmarking new techniques
• Young and friendly environment
• Flexible salary system

Hiring Process

• Initial conversation with Product Owner
• Technical interview with the team
• Basic exercise
• Onboarding

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

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