SkillTrendLab
中文
Skill · Data engineering

Airflow

The pipeline scheduler.

1.3%
of core AI postings mention it
47
postings
39
companies
—
30-day change · from 2nd edition

Which roles ask for it

Share of each role's postings that mention this skill.

  1. MLOps / Platform Engineer
    3 postings
    7.9%
  2. Data Scientist
    11 postings
    7.3%
  3. AI Engineer
    28 postings
    1.6%
  4. Smart Manufacturing / AOI
    1 postings
    0.4%
  5. AI Product / Project Manager
    1 postings
    0.3%
  6. Algorithm Engineer
    1 postings
    0.3%

Industries and places

Share of this skill's postings.

Industry
  1. Software & Internet
    17
    36.2%
  2. Electronics & Hardware
    10
    21.3%
  3. Finance & Insurance
    8
    17.0%
  4. Semiconductor
    2
    4.3%
  5. Healthcare & Biotech
    2
    4.3%
  6. Construction & Real Estate
    2
    4.3%
  7. Consulting & Marketing Services
    2
    4.3%
  8. Logistics & Transport
    1
    2.1%
  9. Manufacturing
    1
    2.1%
  10. Telecom, Media & Digital Content
    1
    2.1%
  11. Wholesale, Retail & E-commerce
    1
    2.1%
Place
  1. Taipei
    38
    80.8%
  2. New Taipei
    7
    14.9%
  3. Hsinchu City
    1
    2.1%
  4. Hsinchu County
    1
    2.1%

Where this number is read from

Of the 47 postings, how many were found through the employer's own skill tags, the title, and the job description. A posting can carry more than one kind of evidence, so the three add up to more than the posting count.

  1. Employer's skill tags
    0
  2. Job title
    0
  3. Job description
    47
The data on this page
Data as of
September 11, 2026
Core AI postings this edition
3,523
Method version
2026.09.1

This page is not indexed yet: change needs a second edition.

Methodology →All skills →