Job Description - Data Engineer Advanced Analytics & AI in Procurement (f/m/x) (MER00034Z2)
Data Engineer Advanced Analytics & AI in Procurement (f/m/x) Group : Mercedes-Benz Group AG
Description
The mobility of tomorrow is not a coincidence but is based on data-driven decisions. Become a part of the new digital generation at Mercedes-Benz and help rewrite the automotive history of our company!
As the digital spearhead in Mercedes-Benz Cars Purchasing and Supplier Quality, we are revolutionizing the daily work of our colleagues. Advanced Analytics & AI are not just buzzwords for us; they are our passion that we get to live in our projects. We develop predictive models, implement the latest AI technologies, and serve as the architects of the data platform for our entire business area. With our digital projects, we create real added value through data-driven decision-making, not only making the work of our colleagues easier, but also realizing significant financial potential for our company.
Are you tired of endless proof-of-concept attempts and want to finally bring your ideas for the digital future of Mercedes-Benz to life? Join our young, dynamic team of data pioneers, digitalization visionaries, creative problem solvers, and tech-driven enthusiasts.
As a Data Engi neer Advanced Analytics & AI (m/f/d), the following exciting tasks await you:
Independent implementation of digitalization projects in the areas of Advanced Analytics and Artificial Intelligence. Identification, analysis, and evaluation of top-down/bottom-up process optimization potentials through qualitative and quantitative analyses. Requirements engineering and rapid prototyping (Power BI/Python stack in Azure environment). Drafting, design and development of sophisticated, modern and sustainable IT infrastructures and their seamless integration into the existing system landscape Responsibility for the identification and exploration of data sources as well as the design of strategic, cross-functional data models for use in multiple analytics projects and integration into a cross-project data layer Co- design of strategic, cross-functional data models A pplication of agile software development methods and collaboration with international teams and the selection and collaboration with external development partners. Ensuring compliance with all corporate security standards and the implementation of security policies and protocols to guarantee data integrity and privacy. Application of digital methods such as Design Thinking or Scrum. Qualifications Qualifications - Ideally, you bring the following:
Completed degree in a natural sciences, mathematics, or business-related field. Ideally 2-5 years of professional experience in process analysis and optimization or software development in a dynamic-analytical work environment (e.g., in the automotive industry, software or startup sector, management consulting, or similar manufacturing sectors) and in the implementation of digitalization projects. E xperience in building and operating complex IT and cloud architecture as well as CI/CD. Significant knowledge of Azure services ( e.g. ADF, Databricks, EventHub, ADLS, Monitoring, PowerBI Server, Azure SQL, Synapse, ...), as well as deep understanding of API design and microservices. Proficiency with technologies like Databricks, Azure Data Explorer, ML libraries (Scikit-learn, TensorFlow, Keras , etc.) and visualization software (e.g., Qlik Sense, Tableau, Power BI). Extensive experience in the application of statistics, artificial intelligence methods, unsupervised and supervised learning, reinforcement learning, deep learning, and data modeling , data scrubbing, data cleaning, data lakes Outstanding programming language skills in relevant data science languages (Python, R) on large data processing frameworks (e.g., Azure Data Factory, Azure Fabrics, Databricks, etc.) Knowledge and solid experience in planning and managing complex IT projects as well as familiarity with agile methods (Scrum, Kanban, etc.). Strong strategic, conceptual, methodological, and organizational skills. Proficiency in project management tools (e.g., Confluence, Jira). Exceptionally high analytical and conceptual skills. Strong technical and digital understanding. Strong teamwork skills and enthusiasm for cross-functional project work. Curiosity and a desire to explore technological advancements in the cloud, analytics, and AI domains. Strong desire for innovation, creative problem-solving, and a hands-on mentality. #J-18808-Ljbffr
