Junior Data Engineer
up to 3 years experienceA Junior Data Engineer works under the guidance of more experienced colleagues and builds up their skills and knowledge of good practices.
See junior Data Engineer pay →IT salaries · Poland
Data Engineer is an IT professional working in the "Data Engineer" area. Pay depends mainly on seniority level, the technology stack used (e.g. Airflow, dbt, Hadoop, Hadoop + Spark) and the form of employment (employment contract or B2B).
Updated monthly · last update: May 2026
Data Engineer pay rises with experience. Curioz tracks medians and pay ranges (employment contract and B2B) separately for each seniority level.
A Junior Data Engineer works under the guidance of more experienced colleagues and builds up their skills and knowledge of good practices.
See junior Data Engineer pay →A Regular Data Engineer works independently, ensures the quality of delivered solutions and takes part in designing them.
See regular (mid) Data Engineer pay →A Senior Data Engineer makes key technical decisions, owns the architecture and supports the team's growth.
See senior Data Engineer pay →A Lead Data Engineer combines technical expertise with leading the team, standards and technology strategy.
See lead Data Engineer pay →The technology stack significantly affects Data Engineer salaries. Curioz tracks pay for the technologies most common in this role and their combinations:
Best-paying technologies for this role (by median salary, highest first):
A versatile language across web, data and AI.
A technology used in the Data Engineer role; the choice of stack affects pay ranges.
A technology used in the Data Engineer role; the choice of stack affects pay ranges.
A technology used in the Data Engineer role; the choice of stack affects pay ranges.
A technology used in the Data Engineer role; the choice of stack affects pay ranges.
A technology used in the Data Engineer role; the choice of stack affects pay ranges.
A technology used in the Data Engineer role; the choice of stack affects pay ranges.
A technology used in the Data Engineer role; the choice of stack affects pay ranges.
A technology used in the Data Engineer role; the choice of stack affects pay ranges.
A versatile language across web, data and AI.
Data Engineer pay differs on an employment contract (monthly salary) versus a B2B contract (hourly rate). They differ in taxation, benefits and risk. Curioz shows both forms separately, so you can compare real rates for a given seniority and technology.
Medians, percentiles and ranges (employment contract and B2B) for every seniority level and technology, built from real data and updated monthly.
Check Data Engineer salaries →Data Engineer pay in Poland depends on seniority (Junior, Regular, Senior, Lead), the technology stack and the form of employment. Up-to-date medians and pay ranges (employment contract and B2B) are available in the full Curioz report, updated monthly from real data.
According to Curioz data, the highest median salaries for the Data Engineer role are reached with Python + PySpark. The full breakdown of rates by technology and seniority is available in the report.
B2B (hourly) rates and employment-contract (monthly) salaries follow different tax and risk logic. Curioz shows both separately for each seniority level and technology.
Source: Curioz, IT salary benchmarks built from real job offers, contracts and HRIS data. Data for May 2026.