SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE.
SHARE YOUR PASSION.
More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.
We, the BMW Group, offer you an interesting and varied internship in the area of Cloud Engineer - Delivery Assurance & Digitalization.
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 external implementation partners in software and IT consulting, as well as prestigious universities to make further 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 automation tools leveraging CI/CD processes, code coverage, and infrastructure as code development best practices.
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.
What do we offer?
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Work-Life-Balance & flexible working hours.
- Digital offers & mobile working.
- Attractive remuneration.
- Employee discounts & price deductions.
- Apartment offers for employees (only Munich).
- And many other benefits - see jobs/benefits
Are you enthusiastic about innovative technologies and an innovative environment? Apply now!
At the BMW Group, we see diversity and inclusion in all its dimensions as a strength for our teams. Equal opportunities are a particular concern for us, and the equal treatment of applicants and employees is a fundamental principle of our corporate policy. That is why our recruiting decisions are also based on personality, experience and skills.
Find out more about diversity at the BMW Group at bmwgroup.jobs/diversity.
Earliest starting date: 03/01/2023
Duration: 6 months
Working hours: full-time
Contact:
BMW Group Recruiting Team
+49 89 382-17001
