Today's top observations on your candidate pool, ranked by significance and freshness. The AI surfaces what changed; you decide whether to investigate.
The pool currently contains 4,287 CVs received over the past 90 days, skewing strongly toward junior and mid-level Software Engineering candidates from Europe and Southeast Asia. LinkedIn is the dominant source channel at 47% of inflow. The most notable recent shift is a sharp rise in candidates citing Python and cloud-infrastructure skills, particularly among mid-level applicants.
CV inflow from LinkedIn has grown 34% over the past 90 days while job-board volume has declined 18%. Three channels now account for 78% of total inflow, up from 64% a year ago.
Average experience for Data Engineering CVs has risen from 4.1 years to 6.3 years. The share of candidates with 5+ years has grown from 41% to 63%.
Kubernetes appears in 31% of Data Engineering CVs received via LinkedIn, up from 12% two years ago — the fastest-growing infrastructure skill across any job title in the dataset.
34% of candidates applying for Data Science roles previously held Software Engineering positions. This share has grown from 21% three years ago.
28% of Junior developer candidates present no traditional degree — bootcamp completions or vendor certifications are their primary qualification. This share has grown from 11% three years ago.