I'm trying to figure out the fastest way to grow my career in IT today by looking at the data sector. Is Data Engineering still the most in-demand skill, or has the focus shifted entirely toward Data Science? I want to know where the actual hiring volume is for 2026 and 2027 so I can invest my training budget wisely.
3 answers
Data Engineering is currently the most in-demand skill because the "Data Scientist" market has become quite saturated. Companies have plenty of people who can run a model, but they lack people who can build the pipelines to feed those models. If you want the fastest way to grow, learn how to handle streaming data with tools like Flink or Spark. I’ve seen Data Engineers with 3 years of experience getting higher offers than Data Scientists with 6 years, simply because the infrastructure side is so much harder to staff.
If engineering is the most in-demand skill, will the move toward "Low-code" data platforms make these technical pipeline roles less relevant by 2027?
The most in-demand skill is actually "Data Storytelling." If you can't explain the value of the data to the CEO, the best pipeline in the world won't save your job.
Timothy makes a great point about communication. As Kimberly said, the engineering is the foundation, but being able to bridge that gap to business value is the ultimate career accelerator.
Patrick, low-code is great for small startups, but for enterprise-level scale, the most in-demand skill is still custom architecture. You can't run a global bank on a low-code drag-and-drop tool. The complexities of data privacy, latency, and integration mean that high-level engineers will always be in demand to manage the backbone of the company's information systems.