Data Engineering Jobs in Poland
There are 2,578 open Data Engineering jobs in Poland on freehire right now. 562 of them were posted recently. The skills employers ask for most often are sql, python and cloud.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| PLN | hour | PLN 144 | PLN 160 | PLN 175 | 86 |
| PLN | month | PLN 15,752 | PLN 18,425 | PLN 21,912 | 68 |
| PLN | year | PLN 200,000 | PLN 270,000 | PLN 339,500 | 49 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- sql 57%
- python 55%
- cloud 50%
- data-engineering 40%
- data-pipelines 39%
- etl 38%
- azure 35%
- ai 34%
How the work is done
- Hybrid 576 · 22%
- Remote 408 · 16%
- Onsite 18 · 1%
Visa sponsorship offered in 48% of the 159 postings that state a position on it.
Seniority
- Senior 964
- Lead 173
- Middle 86
- Junior 67
- Staff 27
- Principal 22
Who is hiring
- 1000+ employees 413
- 501-1000 employees 213
- 51-200 employees 93
- 11-50 employees 23
- 201-500 employees 11
Data Engineer
Build and optimize SQL-based data pipelines, ETL workflows, and reporting models using PostgreSQL, BigQuery, and Tableau to deliver actionable business insights for an agribusiness leader.
specialist data engineer
Builds and optimizes data pipelines and architectures for a large bank, using Python, SQL, Spark, and cloud platforms like Databricks and Azure to support reporting and analytics.
Senior Data Engineer — Remote: Pipelines & Insights
Senior Data Engineer builds and maintains scalable data pipelines and models to turn raw data into reliable insights, partnering with product and engineering teams.
Data Engineer
Design and build large-scale data platforms and distributed systems, lead a team of engineers, and set technical standards for scalable data architectures.
Senior Data Engineer (GCP)
Build and maintain scalable data pipelines on Google Cloud Platform to support media analytics and content optimization.
Senior Data Platform Engineer (GCP)
Build and maintain scalable data infrastructure on Google Cloud Platform to support analytics and media operations.
Mid-Level Data Engineer and Data Modeler – RDBMS and NoSQL
Design and optimize enterprise data architectures, build relational and NoSQL models, and implement ETL pipelines to support analytics and AI insights.
Backend Engineer - Go & Data Platform (Junior/Mid)
Builds backend services for a data platform powering AppMagic, using Go and PostgreSQL with ClickHouse for analytics.
SENIOR TEST ENGINEER (REVENUE & FINANCIAL DATA PLATFORM)
Validates financial calculations and revenue workflows in a platform used by finance teams, ensuring accuracy and reliability of business-critical data.
Lead QA Engineer: Data Platform & Test Automation
Lead QA Engineer designs and maintains automated test frameworks for data platforms, ETL pipelines, and backend systems using Python, Pytest, and CI/CD.
Data Platform Engineer: Kafka, Spring & MongoDB
Build and maintain real-time data pipelines using Apache Kafka, Kafka Streams, and kSQL, integrating systems with Kafka Connect and Spring (Boot, Cloud, Security, Data).
Remote Data Platform Engineer – Kafka & Streams Expert
Builds and maintains real-time data pipelines using Apache Kafka, Kafka Streams, and Kafka Connect in a B2B-focused product team.
Senior Data Engineer: Python, Spark, AWS & GCP Expert
Senior Data Engineer builds and maintains scalable ETL pipelines and distributed data infrastructure using Python, Spark, AWS, and GCP.
Junior Data Engineer Intern - Hybrid, Cloud & AI Training
Build and maintain cloud-based data pipelines and analytics solutions while learning from EY mentors in a structured internship program.
Konsultant IT – GCP / Data Engineering / .NET (f/m/x)
Builds and maintains data pipelines, REST APIs, and web apps using GCP, BigQuery, .NET, Python, and React, with ETL/ELT and Cloud Composer workflows.
GCP Data Engineer: BigQuery, Airflow & CI/CD
Builds and maintains scalable data pipelines on Google Cloud Platform using BigQuery and Airflow, integrating diverse data sources, implementing CI/CD, and collaborating with analytics/product teams to ensure high-quality data solutions.
Senior Data Engineer – Python / Spark / AWS & GCP
Build and maintain scalable data pipelines using Python, Spark, and cloud services (AWS/GCP) to process and transform large datasets efficiently.
Senior Big Data Engineer: Spark & Scala for Finance
Build and maintain large-scale data pipelines using Spark, Scala/Java, and Python for financial data processing across global teams.