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IT skill · Method· Data & Analytics

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

Demand and trends for Data Pipelines – calculated from 59 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)
59
Rank 277 of 531 skills
Trend (90 d)
▲ 30 %
Market share compared with the 90 days before. IT postings overall: ▲ 42 %
Of which must-have
25 %
Rated for 59 postings (AI analysis), otherwise “nice to have”
Remote possible
94 %
32 % fully remote · stated in 80 % of postings
The jury's verdict on Data Pipelines

Growing, but still small.

Data Pipelines sits at rank 277 of 531, in the solid middle of demand. Its market share is rising (▲ 30 % vs. the 90 days before).

Solid demandRank 277 of 531 skills, 59 postings in 90 days.
Growing marketMarket share ▲ 30 % vs. the 90 days before.
Remote possible94 % of postings allow remote work.
And how does your Data Pipelines profile look?Check it for free

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

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

Data and AI87 %
Data platforms, analytics and AI solutions with Data Pipelines.
New development10 %
Building new applications, platforms and products with Data Pipelines.

Typical roles

The roles hired most often are Data Engineer (73 %), Backend Developer (7 %) and DevOps Engineer (7 %). Of the postings that state an experience level, 69 % explicitly ask for senior profiles.

Demand over the last 12 weeks

new listings per week
W29W40
▲ 30 %
Market share vs. previous quarter
▲ 84 %
Postings vs. previous quarter
277 / 531
Rank among all skills

Weekly postings for Data Pipelines are rising: from an average of 4 to 8 per week (+120 %). Volume is developing better than the IT market overall (▲ 42 %).

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

Python appears in 64 % of Data Pipelines postings.

Often named together

Python64 %(opens in new tab)SQL54 %(opens in new tab)Share of Data Pipelines postings that also name the skill.

Who wants Data Pipelines – and under which conditions

Seniority

Senior69 %
Mid-level25 %
Junior3 %

Senior dominates (69 %). Pure junior roles are rare (3 %).

Stated in 100 % of listings

Industries

it_software44 %
banking_finance17 %
energy11 %
retail_ecommerce8 %
logistics8 %

it_software leads (44 %).

Stated in 61 % of listings

Contract type

Freelance61 %
Permanent36 %
Temp agency3 %

Freelance dominates (61 %).

Stated in 100 % of listings

Workplace

Partly remote62 %
Fully remote32 %
On site6 %

Partly remote dominates (62 %). Anyone working fully remote only reaches 32 % of postings.

Stated in 80 % of listings

Regions (on site)

Frankfurt16 %
Berlin9 %
Frankfurt am Main9 %
Mainz9 %
Hannover6 %

Frankfurt leads (16 %).

Stated in 54 % of listings

Project language

German66 %
English34 %

German dominates (66 %).

Stated in 100 % of listings

Current Data Pipelines projects

Frequently asked questions about Data Pipelines freelancing

How many Data Pipelines projects are there right now?

In the last 90 days, 59 projects and jobs mentioning Data Pipelines were posted. That is around 5 per week. The market share changed by ▲ 30 % compared with the previous quarter.

Is Data Pipelines still in demand for freelancers?

Data Pipelines ranks 277 of 531 skills.

Are Data Pipelines projects possible remotely?

94 % of Data Pipelines postings allow remote work. 32 % are fully remote.

Which skills should I learn as a Data Pipelines freelancer?

Python (64 %) and SQL (54 %) are most often required together with Data Pipelines. What actually pays off for your profile is shown by the free CV check.

Methodology: We count IT postings of the last 90 days that mention Data Pipelines. 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. 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 Pipelines market.
Now let the jury judge your profile.

Your CV against 59 Data Pipelines listings – with findings, strengths and an hourly-rate check.