Show notes
In this talk, Slawomir Tulski, Data Leadership Consultant and former Meta Data Engineering Manager, shares his ten-year journey through the evolution of data systems—from researching glaciers in Poland to scaling the ads ranking infrastructure at one of the world's largest tech giants. We explore the shifting definition of the Data Engineer, the "Actionable Data" philosophy, and how to navigate the 2026 hiring market amidst the rise of AI.You’ll learn about:- How to distinguish between Platform DE, Product DE, and Analytics Engineering.- Why most teams over-engineer their stacks and how to build "Value-First" instead of "Tool-First."- Why being "cloud-cost-conscious" is the most underrated competitive advantage in modern data teams.- How to identify "Legacy Traps" and choose a company culture that fosters growth.- Why strategic builders will thrive while "DBT Monkeys" and manual triaging roles are at risk of automation.- How to frame side projects and end-to-end "Toy Platforms" to stand out to recruiters without a Big Tech pedigree.TIMECODES:

