A great place to work

Data Engineer (Senior)

We are the brave ones, who always believe and make it happen!

We are addicted to rethinking what is previously established, like when we brought sustainable mobility to the agenda before everyone else did.

We engineered 2/3 of the KC-390, one of the most advanced transport and logistics aircrafts in the world.

We developed people centered solutions, that are used daily in more than 70 cities in the world, improving smart & sustainable living.

And we brought new generation devices and knowledge platforms to the market, leaving our footprint in space, as well as in our oceans.

Today, we are defining the future of mobility, as well as building advanced space systems and state-of-the-art aircrafts, while working towards a better, brighter and sustainable future here on earth.

CEiiA exists for the love of engineering.

Our mission is to be a global platform of engineering and product development that senses the future, portrays shifts and performs opportunities through the development and the market of new products and services.

We're an organization for planet earth committed people, bringing together an amazing innovative community.

More than good professionals, we hire awesome people.

Our people are the core of our business accomplishments.

Our teams are diverse and we welcome one´s individuality, empowering differences.

We value different expertise and outlooks, generating an all-round habitat for each person.

  • Integrate a dynamic and multifunctional team.

  • Structure from scratch new Data Bases for the new projects of the team, from precision agriculture, images analysis on and from satellites, big-data for smart cities.

  • Maintain and improve Data Bases of current and previous projects.

  • Develop the with Data Science proper structures to run models and define ETLs.

  • Help with data analysis and visualization.

  • Report to the Data Science lead and support junior element of the team.

  • Degree in Computer Science or equivalent field of studies.

  • 3 year minimum of work experience.

  • Experience with programming languages (Python).

  • Previous experience as DB administrator.

  • DB knowledge (e.g MongoDB, PostgreSQL).

  • Verified experience in Machine Learning practises.

  • Good knowledge in Azure DevOps and Databricks or equivalent AWS/GCP technologies.

  • Knowledge in PowerBI is a ‘nice to have’.

  • Fluent in English (written and spoken).

  • Excellent analytical skills and attention to detail.

  • Excellent teamwork and communication skills.

  • Sense of responsibility, proactive and autonomous.


Above average package

We facilitate and promote a balanced and healthy lifestyle by articulating work with personal life.