SkillTrendLab
中文
Skill · Data engineering

Databricks

The Spark-based data and model platform.

1.0%
of core AI postings mention it
35
postings
25
companies
—
30-day change · from 2nd edition

Which roles ask for it

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

  1. Data Scientist
    10 postings
    6.6%
  2. MLOps / Platform Engineer
    2 postings
    5.3%
  3. Smart Manufacturing / AOI
    2 postings
    0.9%
  4. Computer Vision Engineer
    1 postings
    0.9%
  5. AI Engineer
    15 postings
    0.9%
  6. AI Product / Project Manager
    2 postings
    0.7%
  7. Algorithm Engineer
    2 postings
    0.6%

Industries and places

Share of this skill's postings.

Industry
  1. Software & Internet
    13
    37.1%
  2. Finance & Insurance
    8
    22.9%
  3. Electronics & Hardware
    7
    20.0%
  4. Healthcare & Biotech
    3
    8.6%
  5. Semiconductor
    2
    5.7%
  6. Manufacturing
    1
    2.9%
  7. Telecom, Media & Digital Content
    1
    2.9%
Place
  1. Taipei
    24
    68.6%
  2. New Taipei
    3
    8.6%
  3. Hsinchu City
    2
    5.7%
  4. Taichung
    2
    5.7%
  5. Taoyuan
    2
    5.7%
  6. Kaohsiung
    1
    2.9%
  7. Hsinchu County
    1
    2.9%

Where this number is read from

Of the 35 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
    35
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 →