Internship at IT Aftersales - Stuttgart, Deutschland - Mercedes-Benz

Beschreibung

Tätigkeitsbereich:IT / TelekommunikationFachabteilung:Data & AI Lab AftersalesGesellschaft:Mercedes-Benz AGStandort:Mercedes-Benz AG, StuttgartStartdatum:..4Veröffentlichungsdatum:..4Stellennummer:MERKDArbeitszeit:Vollzeit Join usAufgaben

Are you a tech-savvy individual with a passion for software engineering and data? Do you want to gather hands-on experience at a globally renowned company that is pushing the boundaries of automotive innovation? Would you like to be the catalyst for new ideas and innovations, driving them all the way to the highway? Then join our After-Sales IT department at Mercedes-Benz

Who we are and what we do:

We in the Team Data, Analytics & AI aim to put our customers at the center of our work. By harnessing data from our global workshop network, we continuously improve our customers' service experience, make strategic business decisions, and effectively steer various After-Sales processes. To that end, we are building data products through connecting various data sources as well as building state of the art cloud-based data processing pipelines.

Furthermore, we are developing the next generation of our global parts pricing system in the cloud to natively integrate automation and data-driven decision-making processes.

The third pillar is formed by customer data use cases, which help us to identify the individual needs of our customers proactively, in compliance with data protection regulations and in the best possible way, and to leverage new business potential.

To make this happen, we work in self-organized, interdisciplinary, and agile teams with IT and business colleagues.

Things you will do:

Collaborate with cross-functional teams to define data requirements and ensure data quality

Participate in monitoring, troubleshooting, and resolving data processing issues

Contribute to and support our product teams in the design and development of new data products. Embrace data mesh principles to ensure data quality and smooth data exchange, thereby enhancing the underlying architecture of our data platform

Bring in your own ideas into the design of new or improved data products and transform them into end-to-end proof-of-concept solutions in the cloud

Contribute to the creation of comprehensive, easy-to-follow technical documentation

Organize communication with our stakeholders and support the documentation of our data products

Support in the management, maintenance and requirements engineering of our applications as well as create and enhance communication material

Skills you will develop depending on your interests:

Data Analysis Skills: Through collaboration with cross-functional teams to define data requirements, you'll sharpen your ability to evaluate and interpret complex datasets

Problem-Solving Abilities: By monitoring, troubleshooting, and resolving data processing issues, you'll develop a keen eye for identifying problems and formulating effective solutions

Product Development Expertise: As you contribute to and support our product teams, you'll grow your understanding of product lifecycle management, from design and development to testing and deployment

Understanding of Data Mesh Principles: Embracing data mesh principles will allow you to gain insights into data governance, data quality assurance, and data exchange procedures, enhancing your overall knowledge of data management

Innovation and Creativity: By bringing in your own ideas and transforming them into end-to-end proof-of-concept solutions, you'll cultivate your creative thinking and innovation skills, crucial in the field of data and software product development

Cloud Computing Competencies: Developing proof-of-concept solutions in the cloud will help you gain experience in cloud environments and services, an essential skill in today's digital landscape

Technical Writing Proficiency: Contributing to comprehensive, easy-to-follow technical documentation will develop your technical communication skills, aiding you in clearly conveying complex information

Qualifikationen

It helps if you are interested in:

Software development principles

Data modeling, schema design, and data normalization techniques

Cloud platforms such as Amazon Web Services (AWS) or Microsoft Azure

Cloud-based storage (e.g., S3, Azure Data Lake) and big data processing technologies (e.g., AWS Glue, Azure Data Factory, Databricks) for scalable and efficient data workflows

Agile frameworks like Scrum and knowledge of data mesh principles

Data visualization tools like Tableau, PowerBI, or Qlik

Real time data delivery technologies

Qualifications:

Currently pursuing a bachelor's or master's degree in computer science, Information Technology, or a related field with a focus on data or software engineering

Strong English proficiency

Experience with one or more programming languages (Python is of advantage, Go is a nice-to-have)

Communication and interpersonal skills, with the ability to work well in a team as well as independently

Additional information:

Please find the criteria of employment .

Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.

Please understand that we no longer accept paper applications and that there is no right to get your documents returned.

BenefitsEssens­zulagenMit­arbeiter­handy möglichMit­arbeiter­rabatte möglichMit­arbeiter­beteili­gung möglichMit­arbeiter EventsCoachingFlexible Arbeits­zeit möglichHybrides Arbeiten möglichGesund­heits­maß­nahmenBetrieb­liche Alters­ver­sorgungMobilitäts­angebote

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