DE Compensation Trends EU
A client budgeted 2024 salaries for a 2026 data engineer role. The vacancy is now in month six.
The market moved underneath them. Data engineers who’ve run LLM and RAG workloads in production, vector stores, embedding pipelines, model-serving infrastructure, price roughly 15% above the classic warehouse-and-dbt profile in the EU listings and offers I’ve seen this year.
The role itself changed too. Most senior DE openings now quietly contain two jobs: the data platform work and the AI infrastructure work. One salary band, two skill sets.
Three honest ways to respond:
- Pay the premium and get both jobs in one hire. Expensive, fast, real.
- Split the role. A strong classic DE plus AI-infra support from elsewhere costs about the same and is easier to fill.
- Upskill an internal DE on the AI workloads. Slower, cheaper, and it retains the person you already trust.
What rarely works: holding the old band and waiting for the market to agree with your budget. It tends not to.
Which version of the role is your open vacancy actually describing?
Fractional Data Architect helping startups and scaleups build data platforms that scale.
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