We are committed to building a sustainable future and want to be fully neutral on CO2e by 2040. To achieve this goal, we believe that digital technologies and products are essential.
We are looking for a skilled Data Engineer (f/m/d) to enhance the data capabilities and services/systems of our divisional digital units. As a valued member of our team, you will play a pivotal role in developing customer offerings that are based on Industrial Internet of Things (IIoT) data.
The GEA Digital Hub Düsseldorf is dedicated to digitalizing GEA's customer interface, creating new digital products and services, and establishing innovative business models. Working collaboratively with digital units across all divisions, the Hub offers GEA-wide platforms, services, and methods to support these efforts. As a corporate start-up, the GEA Digital Hub operates with an agile approach, driving digital transformation throughout the company.
At GEA Digital we believe that collaboration is essential to our success. We work closely across locations and areas of expertise to achieve our common goals.
Through digitalization, we strive together with the customer to achieve the highest availability and productivity of our machines and systems with the smallest ecological footprint. By joining our team, you will have the opportunity to contribute to a more sustainable world while learning about new technologies and developing your skills as a Data Engineer.
Your Responsibilities:
You build data products & pipelines with a focus on IIoT data
Create tools & frameworks which simplify working with data – for yourself and colleagues like domain matter experts or data scientists
Collaborate with multidisciplinary teams, guiding and supporting them from ideation to production phase of a data product
Improve our data platform and evaluate new products and solutions
You engage in our data engineering / science guild and use your experience to enhance the data capabilities of colleagues across the organization
You keep your knowledge up-to date by actively leveraging training resources and dedicated support provided by our partners like Databricks / Microsoft or joining relevant tech conferences.