Trainee, Connected eMobility

The new graduate trainee program is a dynamic 18-month rotational program designed for previous BMW interns.

Through this immersive experience, trainees will gain valuable insights into the business processes, strategy, culture, and BMW Group brands from a local perspective.

By rotating through various departments, trainees will develop a well-rounded understanding of the organization and its operations.

This program provides an exceptional opportunity for recent graduates to kickstart their career with the BMW Group.



* Develop and maintain data solutions to support charge testing & validation for BMW electric vehicles in the U.S.

market.

Data solutions will include data engineering for charging session data in the AWS cloud.


* Develop data pipelines in our AWS-based Cloud Data Hub to transform and aggregate charging session data.

This also includes integration of additional internal and external data sources, some via APIs.


* Gather hands-on vehicle knowledge and support with testing and validation for current and upcoming BMW offerings.


* Gather knowledge on digital integration topics and specific vehicle products being offered in our current and upcoming BMW offerings.


* Gather knowledge on business strategy in an ever growing and changing electric vehicle space and explore the partnerships that are needed to ensure successful EV adoption and growth.

WHAT YOU SHOULD BRING.


* Previous Intern with BMW of North America (Rolls Royce, MINI, Motorrad), Financial Services, Bank, Designworks or Shared Services


* Completed a bachelor's or master's degree, no more than 14-months from an accredited college or university prior to the start of the program


* Must be legally authorized to work in the United States and not require sponsorship for an immigration-related employment benefit now or in the future


* Possess a minimum cumulative GPA of 3.0 (not just in major)


* Must attach a copy of college unofficial transcript


* Ability to work full-time


* Ability to work a hybrid schedule

PREFERENCES:


* Field of study: Electrical Engineering, Computer Science, Mechanical Engineering, or other relevant fields


* Experience with Python and SQL


* Experience with cloud data platform; i.e., AWS, Azure, GCP, but preferably AWS


* Experience with APIs for data integration


* Experience in Data Science including data wrangling with real-life datasets


* Excellent Knowledge of MS Word, MS PowerPoint, MS Excel


* Experience with measurement devices (multimeter, oscilloscope, etc.) is a plus


* Advanced understanding of electrical concepts (current, voltage, transients, harmonics, etc.)


* Excellent time-management skills; ability to prioritize and handle multiple tasks simultaneously


* Ability to manage sensitive and confidential information


* Excellent organizational and planning skills


* Self-motivated, adaptable to a dynamic environment


* Able to w...