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- 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 in-depth understanding of the data, while ensuring high standard of data quality
- You will support Data Engineering tasks within the Google Cloud Platform (GCP)
- You will get a chance to learn & apply skills on tools like Google Cloud Platform (GCP), SQL, Python, Alteryx, QlikSense, GitHub, and more.
- You are currently in the field of computer or data science, informatics or in a comparable subject
- 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
- Satisfaction of seeing the impact of your solution in real-life business application
- Hybrid Working Opportunities – blending working from Home with working at the Office
Werkstudent (d/w/m) im Bereich Data Engineering - Cologne, Deutschland - Ford Motor Company
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.