HEY THERE!
We are Mercedes-Benz.io. Our mission is to ignite and build the digital solutions for Mercedes-Benz by forming a tribe of digital enthusiasts that drive Mercedes-Benz digital future.
Therefore, we offer you flexibility! You can choose to work from our office in Lisbon, or remotely from any location in Mainland Portugal. Nonetheless, our tribe is our beating heart so we often organize company events and gatherings to bring MB.ioneers together. While some are optional, we would require your presence for certain team events and/or occasions.
We don’t care about your shoes, as long as you are wearing the right attitude. At Mercedes-Benz.io we walk the talk and make things happen. We do not digitize for the sake of being digital but for a better tomorrow for our customers. That’s not our job; it’s our passion. Therefore, we love to reflect and challenge everything – the status quo, Mercedes-Benz, and ourselves. We share the same beliefs and stand up for each other and this is why we hire unique people to join our Tribe of digital enthusiasts.
IN THIS ROLE YOU WILL
As a Summer Intern, you’ll become an integral part of our cross-functional teams, working alongside engineers, analysts, designers, and product experts on real-world projects that have global reach and impact.
You’ll gain hands-on experience from day one and be encouraged to contribute ideas, take ownership of tasks, and build solutions that are used in over 60 countries.
This is a full-time summer internship based in Lisbon and English is our working language. You will be assigned an onboarding buddy to support you during the internship.
As a Data Engineer Intern, you will:
Help build and maintain ETL pipelines to collect, transform, and load data into our data warehouse from various internal sources.
Support the development of reliable data models and marts that enable efficient analytics and reporting for business operations.
Collaborate with data analysts and business teams to support the creation of data-driven dashboards, reports, and other data products.
Assist in monitoring data pipeline performance, identifying bottlenecks, and implementing improvements to increase reliability and efficiency.
Contribute to defining data integration standards and help ensure seamless communication between internal systems and the data warehouse.
Gain hands-on experience in data security, documentation, and the best practices that support scalable and compliant data engineering.
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