Data engineering is a methodological approach and research field focused on the design, development, and maintenance of robust, scalable, and efficient systems and infrastructure for data acquisition, storage, processing, and transformation. Its significance lies in establishing the foundational data pipelines necessary to enable reliable data analysis, machine learning, and data-driven decision-making processes.