Overview
- Alura identifies five fronts expected to drive hiring in 2026, a view backed by Infojobs: data engineering, data governance, analytics engineering, machine-learning engineering, and AI engineering.
- Employers are shifting toward candidates who join technical skills with business judgment, clear metrics stewardship, and responsibility for data quality and oversight.
- Data engineering builds and runs the pipelines that collect, organize, and serve large volumes of information with reliability and security so analysis and models do not fail.
- Analytics engineering fixes mismatched numbers by standardizing and documenting metrics so teams across a company make decisions from the same source of truth.
- Machine-learning and AI engineers move models from the lab into production, monitor performance, and integrate language models and AI agents into real products and processes.