IT Role Rank Poland
#15 by score · #13 editorially · AI/ML and Data

Data Engineer

Tier 1 · AI-era winnersAI risk: lowMixed75 offers on SOLID.Jobs

AI feeds on data; pipelines are the fuel

Overall scoreDerived
6.96/ 10
#15 of 73 by score with the default weights. #13 in the editorial ranking.
  • Salary 30% × 4.41.31
  • AI resistance 35% × 8.02.80
  • Demand 20% × 9.01.80
  • Remote work 10% × 8.00.80
  • Low stress 5% × 5.00.25

Salary, k PLN per month

Mixed
0510152025303540Estimate≈16–30Market B2B21.9–26.9 · 69 offers · SOLID.JobsMarket employment23.5–24 · 5 offers · SOLID.Jobs

estimate MID → SENIORmarket (SOLID.Jobs): middle half of offersmidpoint, medianjunior (derived)

Range MID → SENIOR
≈16–30
Range midpoint
≈23.0
Junior Derived
≈11.5
Take-home, employment (UoP) Derived
≈15.6
Take-home, B2B flat-rate tax Derived
≈18.9

NOTE: this is NOT a junior salary! The bottom of the range = MID level (or just promoted from junior). The top of the range = an experienced SENIOR. Staff/principal/architect levels can earn above it.

Easiest transitions

Estimate
MLOpsData ArchitectAnalytics Eng

2-3 roles with the shortest path from this one (overlapping skills)

Key certifications

Estimate
DP-203Databricks/Snowflakedbt

Scores 1–10

Estimate
  • AI resistance8/10
    10 = rides the AI wave, 1 = highly automatable
  • Demand9/10
    10 = acute shortage of specialists, 1 = shrinking market
  • Remote work8/10
    10 = fully remote is the norm, 1 = mostly on-site
  • Stress5/10
    10 = heavy on-call / shifts / pressure, 1 = calm
  • Entry barrier6/10
    10 = years of prerequisites, 1 = open to beginners
  • Prestige7/10
    10 = elite reputation in the industry, 1 = underrated role; a subjective view of the title among engineers - informational, not part of the Score formula

The market in job ads

From job ads SOLID.Jobs · 13/11/2026
75offers · 25 employers
25.2kB2B median · 21.9–26.9k
23.8kemployment median · 5 offers
53%remote · 32% hybrid

Most common stack

  • Python
  • SQL
  • Databricks
  • ETL
  • PySpark
  • Azure
  • CI/CD
  • Data Engineering
  • Azure Data Factory
  • Data modeling
  • BigQuery
  • GCP

requirednice to have% of this role's offers

Experience level

Junior 0%Regular 41%Senior 57%

17925 Q116025 Q212925 Q313625 Q415726 Q120126 Q215326 Q34626 Q4
Offers per quarter in Data Science and AI · hollow dot = quarter in progress

Matching: 75 by title, 0 by category. Pay is the midpoint of each offer's range in PLN per month (B2B net, employment gross); the median and the band holding the middle half of offers are shown.

Salaries in job-board reports

From reports

No Fluff Jobs: „Kariera w IT 2026”data for H1 2026

These are the report's figures for the whole Data & BI category, not for this role alone.

LevelB2B netEmployment, gross
Junior8.4–12.6–
Mid20.2–24.414.4–20
Senior23.5–28.619.8–26

Thousands of PLN a month: the median lower and upper bounds of the ranges in job ads. A dash means the report gives no amount because there were too few ads. Source: page 11 of the report.

No Fluff Jobs: „Rynek pracy IT w Polsce 2025/2026”data for 2025

These are the report's figures for the whole Data & BI category, not for this role alone.

LevelB2B netEmployment, gross
Overall21.8–27.416–23
Junior8–128–11
Mid18–23.114–19.5
Senior23.5–30.219.6–26.4

Thousands of PLN a month: the median lower and upper bounds of the ranges in job ads. Year-on-year change of the overall upper median: B2B +0.4%, employment -4.2%. Source: pages 27 and 33 of the report.

Reports are shown on their own, with a link and page number. They are not averaged with SOLID.Jobs data because they measure something else: the report gives the median lower and upper bounds, SOLID.Jobs the median of the range midpoints.