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IT skill · Method· SAP & ERP

Data Quality Management freelancers:
What the market really pays and wants.

Demand and trends for Data Quality Management – calculated from 32 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)
32
Rank 492 of 532 skills
Of which must-have
9 %
Rated for 32 postings (AI analysis), otherwise “nice to have”
The jury's verdict on Data Quality Management

A niche with little data.

Data Quality Management sits at rank 492 of 532, rather at the edge of demand.

Small marketRank 492 of 532 skills, 32 postings in 90 days.
And how does your Data Quality Management profile look?Check it for free

What is Data Quality Management – and why do companies hire Data Quality Management freelancers?

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

Data and AI41 %
Data platforms, analytics and AI solutions with Data Quality Management.
Consulting and design34 %
Consulting, concept work, architecture and project leadership around Data Quality Management.
Integration13 %
Connecting systems and interfaces and exchanging data around Data Quality Management.
Operations and enhancement13 %
Looking after, supporting and continuously extending existing systems with Data Quality Management.

Typical roles

The roles hired most often are Data Engineer (47 %), Business Analyst (25 %), Consultant (16 %) and Software Architect (6 %). Of the postings that state an experience level, 72 % explicitly ask for senior profiles.

Who wants Data Quality Management – and under which conditions

Seniority

Senior72 %
Mid-level19 %
Junior3 %

Senior dominates (72 %). Pure junior roles are rare (3 %).

Stated in 100 % of listings

Contract type

Freelance81 %
Permanent16 %
Temp agency3 %

Freelance dominates (81 %).

Stated in 100 % of listings

Project language

German50 %
English41 %
Dutch9 %

German dominates (50 %).

Stated in 100 % of listings

Current Data Quality Management projects

Methodology: We count IT postings of the last 90 days that mention Data Quality Management. 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: 10,534 IT listings in the window

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

Your CV against 32 Data Quality Management listings – with findings, strengths and an hourly-rate check.

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