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 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 by 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 familiy and 'fly and process' together 🫂
• Passion : We wake up every morning to change the world 💚🌍💧
• Simplicity : Less is more. Technology should simplifies our lives, not complicates it
• 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. For example, 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 are facing three main challenges, with a large impact in their gross margin :

Crop Management

Production yield and logistics

Economical yield

Climate change risk assessment

LAYERS helps minimize these risks through a high-quality continuous monitoring and predictions. We want to make LAYERS the core of all the yield-related

decisions in the agribusiness value-chain using data and statistics. Our slogan is

Reshaping the future increasing land efficiency”

The LAYERS Product Team is the main area of the company, where 13 persons are distributed in four squads : DevOps, BackEnd, UX / UI and Data Intelligence. Three-four weeks sprints are combined with sprint demos where all the company is updated with the news in the product by all the members of the product team.

Some of the things you should consider when joining our team are :

Young and friendly environment

Flexible work-hours

100% remote work

Flexible remuneration system that adapts the salary to your needs

Extra holidays

LAYERS , is composed of a web-app mobile-app and API. Our software

constitutes the heart of the customer ecosystem where data analysis and prognosis is presented in an analytical and insightful web dashboard formats. Thanks to this, our customers can monitor their crops and perform better business decisions in their agro-industrial companies.

Tasks

Position

What is your mission in HEMAV?

Main goal of this position is to have a key role in the development of software, models, repositories, and continuously work in improving the Data infrastructure, models and LAYERS products development. Exchanging information and knowledge with data scientists, agronomists, analysts and other experts in the company to identify, design and implement the models that will make the change in present and future LAYERS users.

This mission is deeply linked with the design, technology and thus, the team involved in the application of software development, spatio-temporal statistics, agronomical knowledge and AI in Layers’ solution. Statistics, maths, geographical information, software development, computer vision and other disciplines converge in the work of the whole team.

Global improvements in the robustness and scalability of LAYERS will as well be part of the tasks this person will face.

Tasks

Specifically, this person will :

Contribute to the design, planification and implementation of the LAYERS PredTech, LAYERS core, and LAYERS data projects, increasing the value added to our clients, the scalability, and the robustness of the system.

Implement crop-specific and product-specific solutions designed in collaboration with the agronomical, back-end, front-end, user experience, data-science and data-engineering engineers and PhDs.

Contribute to the maintenance and evolution of the toolset and functional processes in LAYERS, following the coding standards and methodologies

established.

Technical support to clients facing defects detected by the team or reported by users.

General continuous improvement of LAYERS

Punctual support to stakeholders in business and operations.

Responsibilities and functions :

Work on tasks related to LAYERS development, together with other

experts on different fields and technologies, to develop and deploy

tools and techniques that allow HEMAV to extract the maximum value for

the users.

Join agile liturgies such as user stories refinement, sprint planning, daily meetings, product reviews and retrospectives.

Contact point with internal stakeholders in punctual cases related with developments carried out.

How will this role be evaluated?

Team goals following OKR philosophy established with the Team Lead and Product Owner

Company goals

Location : +- 3h from BCN (Spain) time

We are very happy with asynchronous work, however we belief in teamwork and peer programming.

Anyway, if you are in the BCN area you will always be welcomed at the office : -).

Requirements

Technical Skills

Professional python software development >

2 years -

Docker

AWS Cloud technologies (Glue, Athena, Lambda,...)

Nice to have :

MLOps : DVC

MLFlow

Terraform (Infra as Code)

noSQL (AWS DynamoDB)

Earth Observation and Remote Sensing

Spatio-temporal data

Time Series

GraphQL / SQL

DevOps mindset CI / CD

Unit testing

Soft Skill

Team player

Agile methologies : comfortable working with user stories, and liturgies.

Result-oriented

Quality-oriented

Autonomous

Benchmarking of new techniques and technologies related to the position

Challenge love

Benefits

Some of the things you should consider when joining our team are :

Young and friendly environment

Flexible work-hours

100% remote work

Flexible remuneration system that adapts the salary to your needs

Extra holidays

Our hiring process has been refined along the time and includes the following steps :

1. Conversation with Product Owner to present the company and the position.

2. Tech-Talk with the team.

3. Basic exercise.

4. Onboarding.

Join HEMAV Technology, a dynamic company with a talented team. As a Data Engineer, you'll have the opportunity to shape innovative solutions and make an impact. Apply now!