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Data Intelligence - Python Software Developer

HEMAV

Cantabria

A distancia

EUR 40.000 - 80.000

Jornada completa

Hace 14 días

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Descripción de la vacante

Ein innovatives AgriTech-Start-up sucht einen talentierten Softwareentwickler, der eine Schlüsselrolle in der Entwicklung von LAYERS spielt. In dieser spannenden Position arbeiten Sie mit einem dynamischen Team von Fachleuten zusammen, um Softwarelösungen zu entwerfen und zu implementieren, die den Landwirten helfen, ihre Erträge zu steigern und gleichzeitig die Umwelt zu schonen. Sie werden an der Schnittstelle von Data Science und Agronomie arbeiten und Ihre Fähigkeiten in Python, Docker und AWS einsetzen, um robuste und skalierbare Systeme zu schaffen. Wenn Sie leidenschaftlich daran interessiert sind, die Zukunft der Landwirtschaft mitzugestalten, ist dies die perfekte Gelegenheit für Sie.

Servicios

Flexibles Arbeiten
100% Remote-Arbeit
Zusätzliche Urlaubstage
Junge, freundliche Umgebung

Formación

  • 2+ Jahre Erfahrung in der professionellen Python-Softwareentwicklung.
  • Erfahrung mit Docker und AWS Cloud-Technologien.

Responsabilidades

  • Arbeiten an LAYERS-Entwicklung zur Maximierung des Wertes für die Nutzer.
  • Teilnahme an agilen Zeremonien wie Sprint-Planung und Reviews.

Conocimientos

Python
Docker
AWS
MLOps tools
Agile methodologies

Herramientas

AWS Glue
AWS Athena
AWS Lambda
noSQL (AWS DynamoDB)

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 efficiency in treatments, generate yield estimations (tonnes per hectare), and quality estimates (e.g., soybeans protein quantity) for different crops. Main challenges faced include crop management, production yield and logistics, economical yield, and 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 consists of 13 members across four squads: DevOps, BackEnd, UX/UI, and Data Intelligence, working in three to four-week sprints with demos and updates to the entire company.

Tasks

Position

What is your mission in HEMAV?

The main goal of this position is to play a key role in developing software, models, repositories, and improving Data infrastructure, models, and LAYERS product development. Collaborating with data scientists, agronomists, analysts, and other experts to design and implement impactful models for current and future users.

This involves software development, spatio-temporal statistics, agronomical knowledge, and AI, converging disciplines like statistics, mathematics, geographical information, computer vision, etc. Improving the robustness and scalability of LAYERS will also be part of your tasks.

Specific Tasks

Specifically, this person will :

  • Contribute to the design, planning, and implementation of various LAYERS projects, enhancing value, scalability, and system robustness.
  • Implement crop-specific and product-specific solutions in collaboration with multidisciplinary teams.
  • Maintain and evolve the toolset and processes following established 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 tasks related to LAYERS development, deploying tools and techniques to maximize 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 cases.

Evaluation Criteria

  • Achievement of team goals following OKR methodology with the Team Lead and Product Owner.
  • Alignment with company goals.

Location

Location: within +-3 hours from BCN (Spain) time. We support asynchronous work but value teamwork and peer programming. If you're in BCN, you'll always be 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 like DVC, MLFlow, Terraform, noSQL (AWS DynamoDB), Earth Observation, Remote Sensing, Spatio-temporal data, Time Series, GraphQL/SQL, CI/CD, Unit testing.

Soft Skills

  • Team player and result-oriented.
  • Comfortable with Agile methodologies, autonomous, quality-focused, and a challenge lover.

Benefits

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

Our hiring process includes an initial conversation, a tech talk, a basic exercise, and onboarding. Join HEMAV and be part of shaping innovative solutions with a talented team. Apply now!

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