Werkstudent (D/w/m) Im Bereich Data Engineering - Duesseldorf, Deutschland - Ford Motor Company

Ford Motor Company

Geprüftes Unternehmen

Duesseldorf, Deutschland

vor 2 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Prepare data and gain new knowledge from it in order to find innovative solutions for new challenges for our business areas Our Global Data Insight & Analytics (GDIA) team supports core areas such as Marketing & Sales, Production, IT, Quality with the help of sophisticated methods of data management, data analysis, data mining, statistics, AI / ML and other analytical methods in the optimization of processes, strategies and planning principles.

We are looking for experienced data scientists and data management specialists for the European team, for whom a varied, interdisciplinary and globally oriented job is exactly the right next step.

You bring basic knowledge in at least one of the following: databases & data modeling, SQL, programming, dashboard development, data management
You are interested in the following areas: data management/engineering, data quality, data governance, data visualization, web analytics, as well as programming (Python)
Initial experience in Cloud Solutions (Google Cloud, AWS, Azure) is a great addition You have a very good command of both written and spoken English
Be Part of a global and diverse Team within a Leading Automotive Manufacturer
Be close to our internal customers and have access to the latest technologies
Working on the cutting edge, bridging Digital and Traditional Experiences
Access to multiple learning and professional development platforms
Hybrid Working Opportunities blending working from Home with working at the Office
You will work in the area of Data Engineering and Data Management with a focus on projects supporting European Marketing, Sales and Service business areas
You drive data analysis & management of existing and new data sets, to help the team acquire indepth understanding of the data, while ensuring high standard of data quality
You will support Data Engineering tasks within the Google Cloud Platform (GCP)