Running a business that heavily relies on tech requires leaders to juggle numerous parts simultaneously, from the usual business departments, such as finance, marketing, and product development, to more niche and industry-specific areas. Data engineering is one type of tech expertise that many business leaders find particularly important.

Being able to harness the full power of data has proven to be essential for business growth based on customer and client feedback, as well as input from stakeholders and business partners. Data engineering propels companies forward by providing the insights necessary to make informed decisions.

All this makes data engineers highly sought-after professionals, as they manage and optimize data systems in alignment with their companies' future goals. However, recruiters and human resource managers must first understand the definition of data engineering and how it’s applied before finding and hiring data engineers to join their teams.

What Is Data Engineering?

Data engineering is the meticulous orchestration of data flows that aims to ensure data integrity and usability throughout the organization. Data engineering has become the essential backbone of any data-centric organization, playing a pivotal role in enabling startups and established businesses to harness the power of data for strategic decision-making.