Data engineering refers to the process of designing, building, maintaining, and testing data pipelines and systems that allow organizations to store, process, and analyze large amounts of data. It involves a combination of software development and data management skills that is highly needed in data-driven businesses.

It includes activities such as:

• Identifying data sources and determining how to extract structured data from them
• Creating data pipelines and systems to load, transform, and store data efficiently.
• Implementing security and quality measures to assure the data's integrity and reliability
• Working with data analysts and data scientists to understand their information requirements and help design data-driven solutions.
• Testing and debugging data pipelines and systems to ensure proper operation.
• Ongoing maintenance and updating of data pipelines and systems