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Data Intelligence - Python Software Developer

HEMAV

Donostia/San Sebastián

A distancia

EUR 35.000 - 50.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Join HEMAV as a key member of the LAYERS product team, enhancing software and data infrastructure for the agrifood sector. You will collaborate with data scientists and engineers to design impactful models while working in an agile environment. Enjoy a friendly, flexible work culture with remote options and continuous learning opportunities.

Servicios

Flexible work hours
100% remote work
Adaptable salary
Extra holidays

Formación

  • Professional experience of at least 2 years in Python software development.
  • Experience with Docker and AWS technologies.
  • Comfortable with Agile methodologies and team ceremonies.

Responsabilidades

  • Design and implement models impacting LAYERS users.
  • Contribute to planning and implementation of LAYERS projects.
  • Provide technical support and continuously improve LAYERS.

Conocimientos

Python software development
Team player
Agile methodologies
AWS Cloud technologies
Docker

Herramientas

MLOps tools
Terraform
noSQL

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 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 them.
  • 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. 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 face challenges such as:

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

LAYERS helps minimize these risks through high-quality continuous monitoring and predictions. Our slogan is:

Reshaping the future by increasing land efficiency

The LAYERS Product Team is the main area of the company, with 13 persons in four squads: DevOps, BackEnd, UX/UI, and Data Intelligence. We work in three to four-week sprints, with sprint demos to update all members on product news.

What is your mission in HEMAV?

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

This role involves designing and applying software development, spatio-temporal statistics, agronomical knowledge, and AI in LAYERS’ solutions. You will also work on improving the robustness and scalability of LAYERS.

Specific Tasks

  • Contribute to the design, planning, and implementation of LAYERS projects, increasing 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 LAYERS toolset and processes, adhering to established coding standards.
  • Provide technical support to clients for defect resolution.
  • Continuously improve LAYERS.
  • Support stakeholders in business and operations as needed.

Responsibilities and Functions

  • Work on development tasks with multidisciplinary experts to maximize value for users.
  • Participate in agile ceremonies such as user story refinement, sprint planning, daily stand-ups, reviews, and retrospectives.
  • Act as a point of contact for internal stakeholders regarding development activities.

Evaluation Criteria

  • Achievement of team goals following the OKR philosophy, established with the Team Lead and Product Owner.
  • Alignment with overall company goals.

Location

Approximately 3 hours from BCN (Spain) timezone. We support asynchronous work but value teamwork and peer programming. If you're in BCN, you're always welcome at the office.

Requirements

Technical Skills

  • At least 2 years of professional Python software development.
  • Experience with Docker and AWS Cloud technologies (Glue, Athena, Lambda, etc.).
  • Nice to have: MLOps tools (DVC, MLFlow), Terraform, noSQL (DynamoDB), Earth Observation, Remote Sensing, Spatio-temporal data, Time Series, GraphQL/SQL, DevOps mindset (CI/CD), Unit testing.

Soft Skills

  • Team player, Result-oriented, Quality-oriented, Autonomous, Challenge lover.
  • Comfortable with Agile methodologies, working with user stories and team ceremonies.

Benefits

  • Young, friendly environment, flexible work hours, 100% remote work, adaptable salary, extra holidays.

Our hiring process includes:

  • Conversation with Product Owner,
  • Tech-Talk with the team,
  • Basic exercise,
  • Onboarding.

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

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