
Let us be honest with our selfs, in 2026 the are 100s of tools and career opportunities out there. But if you don’t have the right skills, your CV gets rejected right away.
I am a Data Engineer with more than 4 years of experience working for top companies like ASML.
In this 1:1, we’ll dig into where you actually are in your data engineering journey and where the market is heading, not where LinkedIn influencers say it’s heading.
What we’ll cover:
• Your starting point — honest assessment of your current skills, role, and trajectory
• The DE landscape today — analytics engineer vs platform-leaning DE vs ML/AI infra, and which doors each one opens
• Skills that actually move the needle in 2026 — what’s in demand, what’s saturated, and what’s quietly becoming table stakes (Spark, dbt, orchestration, cloud-native data platforms, streaming, IaC, the AI/LLM angle)
• Your gaps and how to close them — concrete next steps, not a 40-tab learning plan
• Personalized recommendations — projects, certs, or role moves based on your goals, not a generic roadmap
Bring your questions, your CV if you want eyes on it, and any specific roles or companies you’re targeting. You’ll leave with a clear sense of what to focus on next quarter, and what to ignore.