The Tribe

"Prozis is a powerhouse product developing company. Every day we make new products. That is only possible because we developed our own proprietary technology that ensures that we bring you high quality, beautiful and fair priced products. We endure in our philosophy of a 4.0 vertical process, manufacturing in our own facilities or with the help of our super partners. We do everything: idea, concept, design, manufacturing, quality control, marketing, sales, logistics, printing, distribution, client support, software development, photo, video, 3D and philosophy. We deliver wherever you are, whenever you want. We don’t compromise. We breathe technology, drink design and feed on our will to exceed ourselves making the best products in the world. This all starts in 2007 with a crazy guy in a garage that thinks he can change the world for the better. Right now, we are hundreds, going to thousands of crazy but focused people. Will is a skill. There is a lot of people that want to buy us out. We don’t have a F****** price tag. It’s not about the money. It’s about our mission. Trust us. We will feed your body and mind with everything you need to exceed yourself."

- miguel milhão

The Team

Prozis Tech division is focused on the development and continuous improvement of software products to support Prozis operation and strategy.
This is a young and motivated team, determined to make things happen. We need you to help us in this world domination tour.

The Role

As a Data Engineer, you are a dynamic and multifaceted person, with a combination of technical skills, analytical thinking and strong communication capabilities. You will be working in a multitalented team and your daily activities will include:

- Create and maintain data pipelines, from ETLs to streaming;
- Maintain data platforms;
- Produce Data Science pipelines and models in robust projects;
- Leverage produced data for consumption (e.g. via REST APIs).


You are an amazing professional, with a degree in Computer Science (or a related field), 3+ years of experience as a Data Engineer, comfortable with agile workflows such as Scrum or Kanban and experience in working directly with business teams.

Technical skills:

- Big Data platforms (Hadoop, Azure, Databricks);
- Streaming tools (Kafka);
- Strong SQL knowledge (Postgres, Hive, Impala, Spark SQL);
- Pipeline development using Spark (Scala, Python);
- Strong knowledge of Business Intelligence and ETL tools;
- Knowledge of cloud platform management it's a plus.

Your superpowers

- Motivated by challenges and new experiences;

- Communicative, with a willingness to work in a team;

- Interest in the business vision;

- Curious and agile;

- Able to translate business requirements into technical solutions;

- Critical and analytical spirit.

Btw: Prozis is not for everyone.