Mehr als 90 % aller Innovationen im Automobil basieren auf Elektronik und Software. Gerade hier sind große Freiräume und vernetztes Denken gefordert, um die Mobilität neu zu erfinden und ein völlig neues Fahrerlebnis zu ermöglichen. Deshalb geben wir Studierenden bei uns nicht nur die Gelegenheit zum Zuhören, sondern auch zum Mitreden und Weiterdenken.
In order to take our operations to the next level, the BMW Groups – Delivery Assurance department is looking for a Cloud Engineering intern to help start its Supply Chain Innovations Think Tank (SCITT) and continue BMW’s leadership in supply chain management. The goal of SCITT will be to research emerging technologies including Data Science and Architecture, and creativity creation and build BMW’s supply chain leadership in these areas.
What awaits you?
You develop and operate data processing pipelines using appropriate AWS services.
As part of SCITT you will be involved in building collaborations within all resorts of the BMW Group including engineering, purchasing and production and honing BMW’s know-how of cloud infrastructures.
You will help to expand our network and build relationships with our innovation’s hubs in locations such as in Silicon Valley, and Tokyo in regard to advances in supply chain analytics.
You implement data delivery solutions to power our internal services (e.g. UI, BI, Analytics) with a focus on scalability, speed, and reliability.
We will create a constant knowledge feed to BMW Management on trends and possibilities for growth in the data science space.
Our Innovations Think Tank is looking for data experts with serious analytical skills and knowledge of cloud environments.
You will help to embrace data analytics tools and methods confidently and responsibly to solve business challenges.
You leverage data to discover patterns and solve strategic analytic business problems.
What should you bring along?
Currently enrolled full time in an undergraduate or graduate program at an accredited college or university studying Computer Engineering, Software Engineering, Informatics, Data Science. Master’s Degree preferred.
You have experience in building automated ETL pipelines, data storage/databases.
You have in-depth knowledge of the AWS stack of data services (S3, RDS, Athena, Redshift, Glue, etc.)
You have in-depth knowledge of SQL, with Big Data Tools & REST APIs
You have programming skills in Java, Python, and Kotlin would also be a plus. Knowledge in Data Engineering (Spark/SQL): understanding of different data visualizations tools for Data Visualization (i.e. AWS QuickSight, Tableau, Power BI, IMPACT plotly/dash, Angular.js/React.js).
Experience in Software Engineering und Agile software development preferred (i.e. Git, Scrum, Jira, CI/CD etc.).
Ability to develop from complex data analysis web-based solutions for business use in understanding data preferred.
You are enthused by new technologies and an innovative environment? Apply now!
Earliest starting date: 01.02.2022
Duration: 6 - 9 months Working hours: Fulltime
Contact: BMW Group Recruiting Team +49 89 382-17001