As the role of data engineers evolves, they face significant challenges stemming from increased complexity in managing systems. Advanced AI models are amplifying the importance of handling unstructured data and real-time data pipelines. Additionally, the workloads for data engineers are expanding, requiring them to take on more responsibilities than in previous years.
A recent report highlights several key findings regarding the role of data engineers in today’s technology landscape. A survey of technology leaders reveals that 72% believe data engineers are fundamental to their business operations, with this sentiment reaching 86% among larger organizations, particularly in sectors like financial services and manufacturing.
The impact of AI on the work of data engineers is notable. The average time spent on AI-related projects by data engineers has nearly doubled in the past two years, increasing from 19% in 2023 to 37% in 2025. Respondents anticipate that this figure may rise to an average of 61% in the next two years, indicating a significant shift in focus toward AI initiatives. This transition is contributing to an increased workload, with 77% of survey participants expressing concern about the growing demands placed on data engineers.
The findings underscore the critical role that data engineers play in the contemporary data landscape, particularly amid the transformative effects of AI. As organizations continue to integrate advanced technologies, questions arise about how data engineers will adapt to these evolving expectations and what strategies might be necessary to address the increased complexities of their roles.
For further details, the report can be accessed via the provided link.
Source: https://www.technologyreview.com/2025/10/23/1125651/redefining-data-engineering-in-the-age-of-ai/