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IT skill · Method· SAP & ERP

Data Transformation freelancers:
What the market wants.

Demand and trends for Data Transformation – calculated from 32 real project and job postings of the last 90 days. No survey, no guesswork without data.

As of: week 44/2026 · updated weekly
Listings (90 days)
32
Rank 480 of 1251 skills
Demand share vs. previous quarter
▲ 36 %
Share of the IT market, 90 days versus the 90 days before
Of which must-have
28 %
Rated for 32 postings (AI analysis), otherwise “nice to have”
The jury's verdict on Data Transformation

Data Transformation is growing (▲ 36 %), but is only at rank 480 of 1251.

Data Transformation sits at rank 480 of 1251, in the solid middle of demand. Its market share is rising (▲ 36 % vs. the 90 days before).

Solid demandRank 480 of 1251 skills, 32 postings in 90 days.
Growing marketMarket share ▲ 36 % vs. the 90 days before.
And how does your Data Transformation profile look?Check it for free

Data Transformation shows 25 projects amid declining market demand

Data Transformation designates the process of converting raw data into structured, usable formats. This method is deployed to standardize data sources of various kinds, resolve quality issues, and provide information for analytics or operational systems. Data from different systems can be consolidated, cleaned, enriched, or transferred into new structures during this process. Such transformation forms a foundation for data-driven decision-making in organizations.

Companies seek professionals with this competency primarily for projects modernizing their data infrastructure or integrating new data sources. Typical tasks include creating transformation logic, validating data stocks, and documenting transformation processes. Freelancers frequently work with established data platforms and tools to develop pipelines or optimize existing processes. These projects often arise in the context of data warehouse implementations or business intelligence initiatives.

The market currently shows 25 projects for Data Transformation, ranking it at position 604 of 1233 skills. A decline of 8 percent in market share over the last 90 days compared to the previous quarter indicates that demand for this specialized method is under pressure. This development suggests that other approaches in the data field may currently be attracting stronger interest.

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

Data and AI50 %
Data platforms, analytics and AI solutions with Data Transformation.
Integration22 %
Connecting systems and interfaces and exchanging data around Data Transformation.
Consulting and design13 %
Consulting, concept work, architecture and project leadership around Data Transformation.
Modernization6 %
Replacing, migrating or rebuilding existing systems where Data Transformation plays a part.

Typical roles

The roles hired most often are Data Engineer (63 %), Backend Developer (13 %), Consultant (9 %) and Business Analyst (6 %). Of the postings that state an experience level, 72 % explicitly ask for senior profiles.

Who wants Data Transformation – and under which conditions

Seniority

Senior72 %
Mid-level25 %

Senior dominates (72 %).

Stated in 100 % of listings

Contract type

Freelance88 %
Permanent13 %

Freelance dominates (88 %).

Stated in 100 % of listings

Project language

German50 %
English50 %

German dominates (50 %).

Stated in 100 % of listings

Current Data Transformation projects

Market data comes from Nexus. Links marked ↗ open the public view in Nexus (new tab) – read-only.

Methodology: We count IT postings of the last 90 days that mention Data Transformation. 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. The description of the skill is created automatically (from our skill directory or by AI) and checked by machine: no numbers, no company names, only the skill and its neighbours in the taxonomy. Texts are created and checked automatically, numbers come from the 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: 10,956 IT listings in the window

More on the methodology →

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