A data engineering project usually starts with understanding the client’s data needs and objectives. It involves designing a scalable and reliable data architecture, selecting the right technologies and tools, building data pipelines, and ensuring data quality and governance. The project might also include setting up data storage solutions, data processing, and creating data workflows.