Data Intelligence - Python Software Developer

HEMAV; Cádiz; A distancia; EUR 35.000 - 65.000; Jornada completa

Descripción de la vacante

Ein dynamisches Unternehmen sucht einen Data Engineer, der innovative Lösungen im Agritech-Sektor entwickelt. In dieser Rolle werden Sie Teil eines talentierten Teams, das an der Verbesserung von Software und Dateninfrastruktur arbeitet. Ihre Hauptaufgabe besteht darin, mit Experten aus verschiedenen Bereichen zusammenzuarbeiten, um intelligente Modelle zu entwerfen und zu implementieren, die den Nutzern von LAYERS helfen, ihre Effizienz zu steigern. Sie werden die Möglichkeit haben, in einem flexiblen und freundlichen Umfeld zu arbeiten, das Wert auf Teamarbeit und kontinuierliche Verbesserung legt. Wenn Sie eine Leidenschaft für Technologie und Daten haben, ist dies die perfekte Gelegenheit für Sie.

Servicios

Flexibles Arbeitszeitmodell

100% Remote-Arbeit

Flexible Vergütung

Zusätzliche Urlaubstage

Junge und freundliche Umgebung

Formación

• 2+ Jahre Erfahrung mit Docker und AWS Cloud-Technologien.
• Kenntnisse in MLOps, GraphQL und agilen Methoden sind von Vorteil.

Responsabilidades

• Entwicklung und Implementierung von LAYERS-Projekten zur Verbesserung der Datennutzung.
• Zusammenarbeit mit verschiedenen Experten zur Maximierung des Nutzerwerts.

Conocimientos

Docker

AWS Cloud technologies

MLOps

GraphQL

Agile methodologies

Team player

Result-oriented

Herramientas

Terraform

noSQL

MLFlow

DVC

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.

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. 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 on their gross margin:

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

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. Our slogan is:

Reshaping the future by 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 to 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.

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 also be part of the tasks this person will face.

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.

Evaluation Criteria

• 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 believe in teamwork and peer programming. Anyway, if you are in the BCN area you will always be welcomed at the office.

Requirements

Technical Skills

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 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

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 over time and includes the following steps:

• Conversation with Product Owner to present the company and the position.
• Tech-Talk with the team.
• Basic exercise.
• 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!