Challenges in data engineering often include dealing with large volumes of data, ensuring data quality and consistency, managing data from diverse sources, handling scalability and performance issues, and staying up-to-date with evolving technologies. Overcoming these challenges requires robust planning, strong technical expertise, and continuous learning and adaptation.