Data Intelligence - Python Software Developer

HEMAV; Barcelona; Presencial; EUR 35.000 - 65.000; Jornada completa

Descripción de la vacante

Join a dynamic AgriTech startup where you'll play a key role in developing innovative data solutions for the agrifood industry. As a Data Engineer, you will work with cutting-edge technologies like AWS and Docker, collaborating with experts to enhance our LAYERS product. This role offers the chance to make a significant impact on sustainable agriculture, ensuring that our technology simplifies decision-making for our clients. If you're passionate about data science and eager to drive change, this is the opportunity for you!

Servicios

Flexible remuneration system

Friendly work environment

Opportunities for innovation

Agile work culture

Formación

• 2+ years of experience with Docker and AWS technologies.
• Familiarity with MLOps, GraphQL, and SQL is a plus.

Responsabilidades

• Contribute to the design and implementation of LAYERS projects.
• Work with cross-functional teams to enhance data infrastructure.

Conocimientos

Docker

AWS Cloud technologies

MLOps

GraphQL

SQL

Unit testing

Time Series

Earth Observation and Remote Sensing

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.

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. 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.

LAYERS helps minimize these risks through 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.

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.

Specific Tasks

• Contribute to the design, planning, 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.
• Provide 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.
• Act as a contact point with internal stakeholders in punctual cases related to developments carried out.

Requirements

Technical Skills

2 years

• Docker
• AWS Cloud technologies (Glue, Athena, Lambda,...)
• Nice to have :
• MLOps : DVC
• MLFlow
• Earth Observation and Remote Sensing
• Time Series
• GraphQL / SQL
• DevOps mindset CI / CD
• Unit testing

Soft Skills

• Team player
• Agile methodologies : comfortable working with user stories, and liturgies.
• Result-oriented
• Quality-oriented
• Autonomous
• Benchmarking of new techniques and technologies related to the position
• Challenge lover
• Young and friendly environment
• Flexible remuneration system that adapts the salary to your needs

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!