Data Engineering & Analytics for Demand… at Robert Bosch · Location…

companyDescription Do you want to shape beneficial technologies with your ideas? Whether in mobility solutions, consumer goods, industrial technology, or energy and building technology – with us, you will have the chance to improve quality of life all across the globe. As part of the Logistics Planning & Fulfillment team, you will support the global Mobility Aftermarket business through efficient material planning and logistics. From optimizing processes to coordinating merchandise distribution across European warehouse locations – we make sure everything runs smoothly. Welcome to Bosch. jobDescription ► Support the development and maintenance of data pipelines for demand forecasting using Azure Data Factory (ADF), SQL, and Databricks ► Analyze and validate datasets (e.g., sales, point-of-sale, pricing, and inventory data) to ensure data quality, consistency, and usability ► Prepare, transform, and integrate data from different source systems, focusing on feature engineering to enhance the predictive power of forecasting models ► Assist in monitoring, troubleshooting, and optimizing data workflows and ETL/ELT processes in the cloud environment ► Support the evaluation of forecasting model results and performance, identifying areas for improvement and contributing to model refinement discussions ► Create and maintain insightful reports and dashboards (e.g., in Power BI) to support business monitoring, data validation, and model performance tracking ► Collaborate with business and technical teams to understand requirements and improve data availability for demand planning qualifications ► Engineering, Information Systems, or a related field with a focus on data analytics, programming, or cloud technologies ► English (written and spoken) is required ► First experience with data analysis and data processing (e.g., SQL, Python, Power BI) ► Basic understanding of databases, ETL/ELT processes, or data pipelines ► Interest in cloud-based data engineering, ideally with first exposure to Azure, Azure Data Factory, or Databricks. ► Experience with SQL and ideally some programming skills in Python ► Bonus: Knowledge of statistical concepts, machine learning fundamentals, data modeling, APIs, or version control (Git) ► Strong analytical and structured way of working ► Curious and eager to learn new technologies and business processes. ► Proactive mindset and hands-on attitude ► Comfortable working both independently and collaboratively in an international team additionalInformation Why you'll love to work with us: ► Experienced colleagues, international environment ► Being part of a great team will challenge you to grow personally and professionally ► Paid full time internship with flexible working hours so you can pass all the exams and be in track with faculty activities Are you our new colleague? Get ready to work #LikeABosch! Simply complete the contact form and submit your CV in PDF format and in English. If you have any questions, feel free to contact us at HRing.team@rs.bosch.com.