Data Engineer Skills Checklist
Builds the pipelines and warehouses that analysts and models depend on. Tick the 8 core skills employers expect — like SQL, Python for data pipelines, Data modelling — and the extras that set you apart, then see your readiness and what to learn next.
Core
0/5Platform & tools
0/7Data Engineer readiness
0%
0 of 8 core skills · 0 of 12 overall
Start with the core skills — they're what job posts and interviews expect first.
Learn next
1. SQL: SELECT, WHERE, GROUP BY, JOINs
Fluent, fast SQL is the job's daily language.
2. SQL: window functions and CTEs
Deduplication, slowly changing data, incremental loads.
3. Python for data pipelines
Write a script that extracts from an API and loads to a database.
Your ticks aren't saved — this checklist runs only in your browser.
How to use the Tech Skills Checklist
- 1Open the checklist for the role you're aiming for — from this page or the Free tools menu.
- 2Tick the skills you already have.
- 3Read your readiness score and the next three skills to learn, then browse matching jobs.
Frequently asked questions
Which roles are covered?
Data analyst, BI, product and AI analyst, data engineer, data scientist, ML engineer, full stack, frontend, backend, mobile, QA, AWS, Google Cloud, Azure, DevOps, cybersecurity, product manager and UI/UX designer.
What's the difference between core and other skills?
Core skills are what most job posts and interviews expect. The rest set you apart, or matter in some teams more than others.
Are my ticks saved?
No — the checklist runs only in your browser and isn't stored.
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