Salaries: SQL

A tech-specific view of published salary ranges, plus real listings you can open and compare.

Active jobs
18
With salary
17
Coverage
94%
Range
€982–€8,153
Avg ~€2,950

Recent jobs (with or without salary)

Open a few listings to see typical stacks, expectations, and seniority.

Posted 5 Jan
View Details

Senior Data Platform & Cloud Engineer

3,733 - 4,715 EUR gross
Posted Nov 4
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Solution Architect

1,965 - 2,947 EUR gross
Posted Oct 22
View Details
Posted Oct 14
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Data Engineer (Kafka & Streaming Platforms)

2,947 - 3,929 EUR gross
uni software plus SRL
Timișoara
Posted Oct 2
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Senior Golang Developer

6,778 - 8,153 EUR gross
ITEAMLY SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Kraków
Posted Apr 3
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Business Analyst

1,572 - 2,358 EUR gross
Evantage Soft SRL
București
Posted Mar 14
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SQL Developer, Database Engineer

982 - 1,768 EUR gross
PixelData
Cluj-Napoca
Posted Feb 23
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DevOps Engineer

982 - 1,473 EUR gross
Andia Capital
București
Posted Feb 23
View Details

Application Support Team Leader

982 - 1,866 EUR gross
IDEMIA Technologies Romania
București
Office
Full-time
Posted Feb 23
View Details

Full-Stack Software Engineer (PHP)

2,161 - 3,143 EUR gross
GABTEO HR
București

How to read these numbers

Stats use only listings that publish a salary range (min–max). “Average” is estimated as the midpoint (min+max)/2, aggregated across salary listings.

Use the range as an anchor, then open recent listings to verify level, contract type, and scope before you compare offers.

FAQ

What is the average SQL salary in Romania?
Based on listings that publish a range, the estimated average is ~€2,950 (range €982–€8,153).
Why does the coverage show 94%?
Coverage is the share of active SQL listings that publish a salary range (min–max). The stats use only those listings.
What currency and period are these salaries?
Figures are shown in EUR and reflect how the listing is published. Use them as an anchor, then open listings to confirm contract type and scope.
How do I compare cities for SQL?
Use the “Cities” list to open city pages with published ranges, then cross-check recent listings for seniority and responsibilities.

How to use these insights

  • Use the distribution to understand typical salary bands (not just averages).
  • Compare experience levels and technologies to calibrate negotiations and career moves.
  • Use the tools to estimate take-home pay (CIM) or contractor outcomes (PFA/SRL).

Important caveats

  • Charts use job listings with explicit salary ranges; not all jobs disclose pay.
  • Averages may use midpoints of ranges for aggregation.
  • Location, remote policy, and seniority labels come from listings and can vary by company.

Methodology

Data sources
We aggregate and analyze salary ranges from IT job listings published on IT Jobs List. Some listings include salary bands explicitly; others may not.
  • Active job listings on IT Jobs List
  • Salary ranges provided by employers (when present)
  • Job metadata (role, seniority, location, tech stack) used to group and compare results
Normalization and assumptions
To keep comparisons useful, we normalize the way we interpret listing data across companies.
  • Salary figures are displayed in EUR where possible; listings may use different currencies and compensation structures.
  • When a listing provides a range, we may use the midpoint for aggregate charts.
  • Remote/hybrid/office and employment type are taken from the listing and may differ across teams within the same company.
Limitations
These insights reflect the market as described by listings, not private compensation data.
  • Not all jobs publish salary ranges, so some segments may be under-represented.
  • Job titles vary between companies; we group them, but edge cases exist.
  • Outliers can appear; trends are more reliable than any single datapoint.