KQL jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-17, KQL appears in 202 job postings indexed by Skillenai over the past 90 days — Security Engineer has the most postings mentioning KQL, with demand share up 9.5% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-17
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Frequently asked questions about KQL
+Is KQL in demand in 2026?
Yes. KQL appears in 202 job postings indexed by Skillenai over the 90 days ending 2026-10-17. Security Engineer accounts for the most postings mentioning KQL (14.9% of all postings mentioning KQL).
+What jobs require KQL?
According to the Skillenai jobs index over the 90 days ending 2026-10-17, among roles with at least 20 postings, the highest shares mentioning KQL are Security Operations Analyst (50.0% of that role’s postings mention KQL), Incident Response Analyst (10.0% of that role’s postings mention KQL), SOC Analyst (8.0% of that role’s postings mention KQL).
+What skills are commonly paired with KQL?
Across job postings indexed by Skillenai (90 days ending 2026-10-17), KQL most often appears alongside Python, SQL, SIEM, SPL, incident response.
+Where is KQL most in demand?
As of 2026-10-17, the metro areas posting the most jobs requiring KQL are London, Seattle, Bengaluru, Pune, Tel Aviv, according to the Skillenai jobs index.
+How can I keep up with new KQL content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning KQL alongside the jobs index. You can subscribe to a daily email digest of new KQL content from your Skillenai account.
+Which skills come before and after KQL?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring KQL — last 90 days
Career paths around KQL
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before KQL
Skills after KQL
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: python | 2 |
| Before: Power BI | 2 |
| Before: risk and exposure | 1 |
| Before: Custom alerts | 1 |
| Before: SIEM (Microsoft Sentinel) | 1 |
| Before: Tableau Server | 1 |
| Before: C# | 1 |
| Before: ETL | 1 |
| After: terraform | 3 |
| After: IAM | 3 |
| After: CloudFormation | 2 |
| After: CloudWatch | 2 |
| After: python | 1 |
| After: vnets | 1 |
| After: queries | 1 |
| After: AWS Glue | 1 |
Roles most likely to require KQL
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Security Operations Analyst | 13 | 50.0% |
| Incident Response Analyst | 2 | 10.0% |
| SOC Analyst | 2 | 8.0% |
| Data Security Engineer | 2 | 7.7% |
| Security Research Engineer | 3 | 5.4% |
| Security Analyst | 16 | 3.8% |
| IT Security Analyst | 2 | 3.7% |
| Detection Engineer | 1 | 2.9% |
| Security Researcher | 2 | 2.8% |
| Security Consultant | 1 | 2.6% |
Roles with the most KQL postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Security Engineer | 30 | 14.9% |
| Security Analyst | 16 | 7.9% |
| Security Operations Analyst | 13 | 6.4% |
| Site Reliability Engineer | 10 | 5.0% |
| Information Security Engineer | 6 | 3.0% |
| Cybersecurity Engineer | 5 | 2.5% |
| Data Engineer | 5 | 2.5% |
| Software Engineer | 5 | 2.5% |
| Cybersecurity Analyst | 4 | 2.0% |
| Detection and Response Security Engineer | 4 | 2.0% |
Top companies posting jobs requiring KQL
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Writer | 9 |
| Anduril Industries | 8 |
| Encora | 7 |
| 6 | |
| Grab | 6 |
| Anduril | 4 |
| Veeam | 4 |
| Cyderes | 4 |
| Nebius | 3 |
| CrowdStrike | 3 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for KQL
| Name | Postings | Share |
|---|---|---|
| London | 9 | 4.5% |
| Seattle | 7 | 3.5% |
| Bengaluru | 6 | 3.0% |
| Pune | 6 | 3.0% |
| Tel Aviv | 6 | 3.0% |
| Boston | 4 | 2.0% |
| Mountain View | 4 | 2.0% |
| Petaling Jaya | 4 | 2.0% |
| Arlington | 3 | 1.5% |
Skills commonly paired with KQL
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-17. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning KQL by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s KQL postings by all KQL postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,614 identified employers and covers 71% of earlier and 72% of latest indexed postings. Windows: 2026-06-16 to 2026-09-14 and 2026-07-14 to 2026-10-12 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 3de14f45c42624af
- data_as_of
- 2026-10-17
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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