Will AI Replace Data Engineers? The Real 2026 Shift
- Jan 19, 2026
- Isha Taneja
Julian Wiffen explains GenAI’s real impact on data engineering, ETL productivity, unstructured data, and practical AI adoption at scale.
Julian Wiffen explains GenAI’s real impact on data engineering, ETL productivity, unstructured data, and practical AI adoption at scale.
Julian Wiffen, Chief of AI and Data Science at Matillion , has a simple reputation: he makes AI usable. Starting out in chemistry and early computational modeling, he learned to value experiments that actually lead to outcomes—not just interesting theory.
On The Executive Outlook, Julian shares how GenAI is changing data engineering in real terms: making unstructured data like text and documents usable, and speeding up ETL work through copilots like Maia. His examples show why reliability comes from constrained outputs and why context, schemas, and documentation are now the real foundation for AI success.
His approach is clear: build AI for daily work, define what “good” means early, and make it easy for teams to trust and adopt.
CEO, Complere Infosystem | Editor-in-Chief of The Executive Outlook | Data Storyteller | Business Strategist
“Decisions that win are built on accurate and timely insight, not on data overload.”
Isha Taneja is the CEO of Complere Infosystem, a leading data engineering and analytics company that helps organizations turn messy data into business-ready insights. As Editor-in-Chief of The Executive Outlook, she curates bold stories and sharp perspectives from leaders shaping the future.
Whether she’s working with clients on digital transformation or sharing authentic leadership stories, Isha’s mission is simple:
Make data-driven decisions easier, faster, and more impactful.
