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IT skill · Method· Data & Analytics

Data Engineering freelancers:
What the market really pays and wants.

Demand and trends for Data Engineering – calculated from 105 real project and job postings of the last 90 days. No survey, no guesswork without data.

As of: week 41/2026 · updated weekly
Listings (90 d)
105
Rank 159 of 531 skills
Trend (90 d)
▲ 28 %
Market share compared with the 90 days before. IT postings overall: ▲ 42 %
Of which must-have
57 %
Rated for 105 postings (AI analysis), otherwise “nice to have”
Remote possible
96 %
47 % fully remote · stated in 85 % of postings
The jury's verdict on Data Engineering

Growing, but still small.

Data Engineering sits at rank 159 of 531, in the solid middle of demand. Its market share is rising (▲ 28 % vs. the 90 days before).

Solid demandRank 159 of 531 skills, 105 postings in 90 days.
Growing marketMarket share ▲ 28 % vs. the 90 days before.
Remote possible96 % of postings allow remote work.
And how does your Data Engineering profile look?Check it for free

What is Data Engineering – and why do companies hire Data Engineering freelancers?

The postings that mention Data Engineering fall into these types of project (share of the classified postings):

Data and AI82 %
Data platforms, analytics and AI solutions with Data Engineering.
New development9 %
Building new applications, platforms and products with Data Engineering.

Typical roles

The roles hired most often are Data Engineer (74 %), Software Architect (6 %) and Data Scientist (6 %). Of the postings that state an experience level, 80 % explicitly ask for senior profiles.

Demand over the last 12 weeks

new listings per week
W29W40
▲ 28 %
Market share vs. previous quarter
▲ 81 %
Postings vs. previous quarter
159 / 531
Rank among all skills

Weekly postings for Data Engineering are falling: from an average of 10 to 8 per week (−20 %). Volume is developing better than the IT market overall (▲ 42 %).

Which skills Data Engineering is wanted with – and which ones pay off

Python appears in 56 % of Data Engineering postings.

Often named together

Python56 %(opens in new tab)SQL48 %(opens in new tab)Data Modeling35 %(opens in new tab)CI/CD32 %(opens in new tab)Databricks30 %(opens in new tab)Share of Data Engineering postings that also name the skill.

Who wants Data Engineering – and under which conditions

Seniority

Senior80 %
Mid-level14 %
Junior4 %

Senior dominates (80 %). Pure junior roles are rare (4 %).

Stated in 99 % of listings

Industries

it_software46 %
banking_finance13 %
manufacturing9 %
public_sector9 %
energy7 %

it_software leads (46 %).

Stated in 51 % of listings

Contract type

Freelance82 %
Permanent16 %

Freelance dominates (82 %).

Stated in 100 % of listings

Workplace

Partly remote48 %
Fully remote47 %
On site4 %

Fully remote grows the most (+12 % vs. the previous quarter). Anyone working fully remote only reaches 47 % of postings.

Stated in 85 % of listings

Regions (on site)

Köln16 %
Berlin11 %
Bern11 %
München7 %
Frankfurt7 %

Köln leads (16 %).

Stated in 43 % of listings

Project language

German67 %
English31 %

German dominates (67 %).

Stated in 100 % of listings

Who posts Data Engineering projects

Hays AG15
RED Global11
Postings of the last 90 days.

Current Data Engineering projects

Frequently asked questions about Data Engineering freelancing

How many Data Engineering projects are there right now?

In the last 90 days, 105 projects and jobs mentioning Data Engineering were posted. That is around 8 per week. The market share changed by ▲ 28 % compared with the previous quarter.

Is Data Engineering still in demand for freelancers?

Data Engineering ranks 159 of 531 skills.

Are Data Engineering projects possible remotely?

96 % of Data Engineering postings allow remote work. 47 % are fully remote.

Which skills should I learn as a Data Engineering freelancer?

Python (56 %), SQL (48 %) and Data Modeling (35 %) are most often required together with Data Engineering. What actually pays off for your profile is shown by the free CV check.

Who posts Data Engineering projects?

The 2 most active recruiters account for 25 % of all Data Engineering postings of the last 90 days.

Methodology: We count IT postings of the last 90 days that mention Data Engineering. Projects posted several times that are detected as duplicates count once; postings without an assignable IT category are missing, so the figures are a lower bound. The trend compares the share of all IT postings with the 90 days before and only appears with enough comparison data. We do not show figures based on fewer than 30 data points. The rating “must have” or “nice to have” comes from an AI analysis of the posting texts. Distributions only refer to postings that state the respective attribute; we state the coverage alongside. Recruiters are the posters of the listing according to the source, only above a minimum number of postings. An AI assigns the project type and role of each posting from its title, category and skills; the shares are counted postings, not estimates, and only appear with enough classified postings.

Basis: 10,565 IT listings in the window

You now know the Data Engineering market.
Now let the jury judge your profile.

Your CV against 105 Data Engineering listings – with findings, strengths and an hourly-rate check.

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