Market Pulse · Market Report
What skills does the market require for Data Engineer?
This analysis shows which skills are most frequently required in current job postings for Data Engineer — evaluated from 31 postings (nationwide), source: Federal Employment Agency.
31
Postings evaluated · nationwide
6
Skills identified
54,8%
Peak demand
Demand · nationwide
Most in-demand skills
Share of nationwide evaluated postings that explicitly mention the skill.
1
Python 54,8%
2
ETL 32,3%
3
Azure 22,6%
4
Analytics 22,6%
5
Databricks 19,4%
6
Git 19,4%
Technical core Tools / Software
Trend
Where demand is heading
Trend analysis from Q4 2026
We are still gathering the necessary history — trend data will appear automatically once sufficient time series are available.
Salary
Median salary nationwide
Median for occupation family IT & Data
6.062 € / month
Q25 5.498 €
Q75 6.583 €
Source: Entgeltatlas of the Federal Employment Agency
Common gaps
These skills are missing from many profiles
Highly in demand — and rarely evidenced in most CVs for Data Engineer.
Python 54,8% in demand
Frequently required, rarely evidenced in CVs.
ETL 32,3% in demand
Frequently required, rarely evidenced in CVs.
Azure 22,6% in demand
Frequently required, rarely evidenced in CVs.
Analytics 22,6% in demand
Frequently required, rarely evidenced in CVs.
Databricks 19,4% in demand
Frequently required, rarely evidenced in CVs.
Does your CV show these skills?
The Quick Check analyses your CV against exactly these market requirements — and shows which skills the ATS filter is missing from your profile.
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