Farming

Planet Farms

51-200

Portugal

__Planet Farms__, founded in 2018 in Milan, is a leading vertical farming company. We are on a mission to transform agriculture with state-of-the-art robotics and automation technology.

The company is in strong development in Italy and abroad and Planet Farmers today work at the production plant and the R&D Center on the outskirts of Milan, as well as offices in Italy (Milan), Portugal (Coimbra), the United Kingdom (London) and the Netherlands (Eindhoven).

We are looking for a __Data Engineer__ to design and develop a new data platform based on data mesh. You will be responsible for building the infrastructure and establishing a data culture in the company. This is a chance to build from the ground up and transform the company. This is an on-site role in Coimbra, Portugual with a flexible schedule.

## Responsibilities:

* Develop the internal data platform, leveraging the principles of data mesh to enable autonomous teams to own and operate their data as a product
* Implement data governance policies and procedures
* Work with cross-functional teams to define data domains, data products, and data pipelines, to support the needs of the business
* Cooperate with the Machine Learning team to create new predictive models

## Our expectations:

* Degree in one of the following fields: Engineering/Computer Science/Data Science
* At least 2 years of experience in data engineering or a related role
* Fluent knowledge of English
* Knowledge of Italian is a plus
* Good familiarity with technologies from our stack: Python, Git, Docker, Flask/FastAPI, Postgres.
* Knowledge of data infrastructure tools: Clickhouse/Snowflake/BigQuery or other DWH, RabbitMQ/Kafka, Prefect/Airflow, Minio/S3, PostgreSQL, Apache Spark, AWS/GCP/Azure
* Strong written and verbal communication skills
* Willingness to travel to factories: foreseeable 1 month per year, divided into short assignments

## Benefits:

* Autonomy: We don’t micromanage, we welcome your independent perspective and encourage you to manage your time to achieve our shared goals.
* Flexibility: We cultivate an informal environment that is more fun and less rigid than academia and larger companies.
* Growth culture: At Planet Farms learning is part of the job.
* Flexible schedule, health insurance.
* Modern laptop, GPUs for heavy computation, and other necessities of life.
* Relocation assistance within the EU.
* Lack of bureaucracy and unnecessary meetings.
* A physically tangible job result. You can eat it!

__Location:__

IPN - Instituto Pedro Nunes, Coimbra - Portugal

Type of contract:

Fulltime, permanent

__Planet Farms is committed to providing equal employment opportunities to all individuals regardless of their race, gender, religion, sexual orientation, pregnancy status, nationality, age, or disability, celebrating individual differences and fostering an inclusive environment where everyone can thrive. Our commitment to non-discrimination applies to all stages of the employment relationship, including hiring, training, compensation, promotion, and termination.__

Employee

<p><strong>Planet Farms</strong>, founded in 2018 in Milan, is a leading vertical farming company. We are on a mission to transform agriculture with state-of-the-art robotics and automation technology.</p>
<p>The company is in strong development in Italy and abroad and Planet Farmers today work at the production plant and the R&amp;D Center on the outskirts of Milan, as well as offices in Italy (Milan), Portugal (Coimbra), the United Kingdom (London) and the Netherlands (Eindhoven).</p>
<p>We are looking for a <strong>Data Engineer</strong> to design and develop a new data platform based on data mesh. You will be responsible for building the infrastructure and establishing a data culture in the company. This is a chance to build from the ground up and transform the company. This is an on-site role in Coimbra, Portugual with a flexible schedule.</p>
<h2 id="responsibilities">Responsibilities:</h2>
<ul>
<li>Develop the internal data platform, leveraging the principles of data mesh to enable autonomous teams to own and operate their data as a product</li>
<li>Implement data governance policies and procedures</li>
<li>Work with cross-functional teams to define data domains, data products, and data pipelines, to support the needs of the business</li>
<li>Cooperate with the Machine Learning team to create new predictive models</li>
</ul>
<h2 id="our-expectations">Our expectations:</h2>
<ul>
<li>Degree in one of the following fields: Engineering/Computer Science/Data Science</li>
<li>At least 2 years of experience in data engineering or a related role</li>
<li>Fluent knowledge of English</li>
<li>Knowledge of Italian is a plus</li>
<li>Good familiarity with technologies from our stack: Python, Git, Docker, Flask/FastAPI, Postgres.</li>
<li>Knowledge of data infrastructure tools: Clickhouse/Snowflake/BigQuery or other DWH, RabbitMQ/Kafka, Prefect/Airflow, Minio/S3, PostgreSQL, Apache Spark, AWS/GCP/Azure</li>
<li>Strong written and verbal communication skills</li>
<li>Willingness to travel to factories: foreseeable 1 month per year, divided into short assignments</li>
</ul>
<h2 id="benefits">Benefits:</h2>
<ul>
<li>Autonomy: We don’t micromanage, we welcome your independent perspective and encourage you to manage your time to achieve our shared goals.</li>
<li>Flexibility: We cultivate an informal environment that is more fun and less rigid than academia and larger companies.</li>
<li>Growth culture: At Planet Farms learning is part of the job.</li>
<li>Flexible schedule, health insurance.</li>
<li>Modern laptop, GPUs for heavy computation, and other necessities of life.</li>
<li>Relocation assistance within the EU.</li>
<li>Lack of bureaucracy and unnecessary meetings.</li>
<li>A physically tangible job result. You can eat it!</li>
</ul>
<p><strong>Location:</strong></p>
<p>IPN - Instituto Pedro Nunes, Coimbra - Portugal</p>
<p>Type of contract:</p>
<p>Fulltime, permanent</p>
<p><strong>Planet Farms is committed to providing equal employment opportunities to all individuals regardless of their race, gender, religion, sexual orientation, pregnancy status, nationality, age, or disability, celebrating individual differences and fostering an inclusive environment where everyone can thrive. Our commitment to non-discrimination applies to all stages of the employment relationship, including hiring, training, compensation, promotion, and termination.</strong></p>


Data Engineer

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