If you really want to make a difference – make it with us

Siemens Mobility is a separately managed company of Siemens AG and has been a leading supplier in the field of mobility for over 160 years. Our core business includes rail vehicles, rail automation and electrification solutions, turnkey systems and related services. We have always been very innovative in making traveling faster, safer and more comfortable. Today, we need new solutions to new challenges such as climate change and rising populations worldwide. That's what drives us. That's why we shape mobility with passion, always being one step ahead. Through digitalization, we make infrastructures smart and create opportunities that get us from A to B sustainably and seamlessly. Our 39,800 employees are pioneers in mobility who help to keep the world moving.

In the Munich locomotive factory, we develop and manufacture modern locomotives and passenger coaches. As an Analytics Engineer, you will play a crucial role in ensuring that our engineering team can draw the right lessons from the operation of our vehicles to further develop our platforms.
Your primary focus will be on maintaining the operational data storage of our platforms and developing data analysis methods. You will leverage your expertise in statistics, data analysis, and database structuring to achieve this.

 

What do you contribute?

You plan and supervise the analysis of problems in the operation of our vehicles. You participate in developing new components and support their specification during the design process. In addition, you support the team leaders in planning the specified tasks in terms of costs and deadlines. You maintain and optimize the operational data storage of our platforms. You develop data analysis methods and techniques to extract valuable insights from the data. You collaborate with cross-functional teams, including engineers and business stakeholders, to understand data requirements and translate them into technical solutions. Moreover you contribute to the continuous improvement of our data and analytics capabilities by researching and implementing new technologies, tools, and methodologies.  

What do you bring along?

You hold a technical or scientific Master's degree in a relevant field. You have In-depth knowledge of data modeling and data analysis. Also, you are proficient in Python programming and familiarity with database structures. You have strong analytical and problem-solving skills, with the ability to think abstractly and tackle technical/physical issues. Furthermore you want to optimize our designs and a ability to work effectively in a team. Excellent command of written and spoken German and English round off your profile.  

What do we offer you?

Purpose

We are pioneers in mobility. At Siemens Mobility, you will actively contribute to the transformation of transportation and climate protection in a market of the future, because our transportation solutions reduce CO2 emissions all over the world.

Inclusion & Diversity

At Siemens Mobility, we're committed to fighting injustice and inequality. At our company, you will find an environment where you can be yourself and belong.

Career growth

We offer comprehensive training opportunities for your professional and personal development. With our Learning Campus, we have an in-house service provider with a wide range of online and offline training courses.

You can find an overview of our benefits here.

 

How do you get in touch with us?

www.siemens.de/mobility
if you would like to find out more about Siemens Mobility before applying.
www.siemens.com/global/en/company/jobs/faq.html
if you would like to obtain more information about the application process.
+49 (9131) 17 5243-0
if you would like to clarify further questions about the position via our applicant hotline.
www.siemens.com/mobility-jobs
if you would like more information about jobs and careers at Siemens.

As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.

The contact person handling this job ad is Mr. Ertan Günther.