Salaries: Python

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

Active jobs
31
With salary
28
Coverage
90%
Range
€1,179–€8,251
Avg ~€3,473

Recent jobs (with or without salary)

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

Posted Dec 2
View Details

Software Engineer - AI-First Development

2,358 - 3,340 EUR gross
Mindbots Inc.
București
Posted Nov 29
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Senior Data Engineer

3,929 - 4,912 EUR gross
Astro Sirens LLC
Austin
Posted Nov 25
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SAP Test Automation Engineer

1,965 - 2,947 EUR gross
uni software plus SRL
Timișoara
Posted Nov 20
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AI Software Architect - AdTech

4,912 - 5,697 EUR gross
Sigma Software
Budapest
Posted Nov 15
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Senior Back-End Security Developer

Undisclosed
Sigma Software
Budapest
Posted Oct 22
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Posted Oct 22
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Senior Go Engineer

3,045 - 3,635 EUR gross
Coherent Solutions Romania
București
Remote (Romania)
Full-time
Posted Oct 14
View Details

Data Engineer (Kafka & Streaming Platforms)

2,947 - 3,929 EUR gross
uni software plus SRL
Timișoara
Posted Sep 28
View Details

Software & Applied AI Engineer (Remote, Romania)

2,456 - 3,045 EUR gross
Posted Sep 14
View Details

Senior AI-First Full-Stack Engineer

3,438 - 4,813 EUR gross

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 Python salary in Romania?
Based on listings that publish a range, the estimated average is ~€3,473 (range €1,179–€8,251).
Why does the coverage show 90%?
Coverage is the share of active Python 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 Python?
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.