Data Engineering & Analytics for Demand Forecasting Internship

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 (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

Additional Information :

Why youll 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 .

Remote Work :

No

Employment Type :

Full-time