Data Intelligence - Python Software Developer

LAYERS; Donostia/San Sebastián; A distancia; EUR 35.000 - 55.000; Jornada completa

Descripción de la vacante

Join a dynamic AgriTech start-up shaping the future of agribusiness as a Data Engineer. You'll collaborate with data scientists and agronomists to enhance our LAYERS product with Python, AWS, and innovative solutions, in a flexible and friendly environment. This role supports remote work with a focus on value and scalability.

Servicios

Flexible remuneration

Remote work options

Extra holidays

Adaptable salary system

Formación

• At least 2 years of professional Python development in data environments.
• Experience with Docker, AWS Glue, Athena, S3, and Step Functions.
• Familiarity with spatio-temporal data, time series, GraphQL/SQL, CI/CD.

Responsabilidades

• Design and implement data-related developments for LAYERS.
• Develop tools that maximize value for users.
• Participate in agile ceremonies and collaborate with stakeholders.

Conocimientos

Python

Docker

AWS

MLOps

Descripción del empleo

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 comprises around 40 team members with offices in Spain, Brazil, Peru, and the USA. We have around 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.

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 to be our best and learn continuously.
• Integrity : Transparency and honesty are core to us.
• Innovation : We embrace creativity and challenge.

Our software, LAYERS, generates key yield forecasting data and analytics, impacting crop management, yield estimation, quality assessment, and climate risk evaluation. It helps clients improve treatment efficiency and decision-making in the agribusiness value chain, with the slogan “Reshaping the future increasing land efficiency”.

The LAYERS Product Team consists of 13 members across four squads : DevOps, BackEnd, UX / UI, and Data Intelligence, working in three to four-week sprints with regular demos.

Consider joining us if you value :

• A young, friendly environment
• Flexible remuneration
• Remote work options

The platform includes web and mobile apps and APIs, providing analytical dashboards to monitor crops and optimize decisions.

Your Mission :

Play a key role in developing software, models, and data infrastructure, collaborating with data scientists, agronomists, and engineers to implement impactful models and solutions. Focus on improving the robustness and scalability of LAYERS.

Specific Tasks :

• Design and implement data-related developments for LAYERS, enhancing value, scalability, and robustness.
• Collaborate with multidisciplinary teams to develop crop-specific solutions.
• Maintain and evolve the system following coding standards.
• Support clients and troubleshoot defects.
• Contribute to continuous improvement and stakeholder support.

Responsibilities :

• Develop and deploy tools that maximize value for users.
• Participate in agile ceremonies like planning, reviews, and retrospectives.
• Act as a liaison with internal stakeholders for development-related issues.

Evaluation :

• Based on team goals following OKRs.
• Aligned with overall company objectives.

Location : Within ±3 hours of BCN (Spain) time. Remote work is supported, with office access in BCN.

Requirements : Technical Skills :

• At least 2 years of professional Python development in data environments.
• Experience with Docker, AWS (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, eager to challenge and learn.

Benefits :

• Young, friendly, and flexible environment.
• Remote work, flexible hours, extra holidays, adaptable salary system.

Our hiring process includes an initial conversation, technical assessment, and onboarding. Join HEMAV to shape innovative solutions and make an impact as a Data Engineer. Apply now!

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