Internship in Data quality and engineering (m/f/d)

Create tools and methods to improve data reliability for analytics by designing and implementing data quality assessment and profiling solutions. Work across the full lifecycle—from reviewing data quality methods and evaluating data pipeline capabilities to building a working prototype and validating performance and scalability with synthetic data. Join the R&D Data Operations team and gain hands-on exposure to real pipeline execution, data cleaning, and large-scale data challenges.