Data Engineering Jobs in Poland
There are 2,572 open Data Engineering jobs in Poland on freehire right now. 561 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 37%
- azure 35%
- ai 34%
How the work is done
- Hybrid 573 · 22%
- Remote 408 · 16%
- Onsite 18 · 1%
Visa sponsorship offered in 48% of the 158 postings that state a position on it.
Seniority
- Senior 963
- Lead 173
- Middle 86
- Junior 67
- Staff 27
- Principal 22
Who is hiring
- 1000+ employees 411
- 501-1000 employees 212
- 51-200 employees 93
- 11-50 employees 23
- 201-500 employees 11
Junior Data Engineer: Build Secure Data Pipelines
Build and secure data pipelines for a banking client, using Scala, Spark, and cloud platforms to process large-scale data into reliable, business-ready datasets.
Snowflake Data Engineer: Cloud Data Pipelines & AI
Designs and maintains Snowflake-based data pipelines and cloud integrations, optimizing performance and cost while supporting AI/ML initiatives and data governance.
Remote Data Engineer — Big Data Pipelines
Designs and builds large-scale data pipelines and lakes using Python, SQL, and big-data tech, collaborating with global teams on data projects.
Senior Data Engineer – Snowflake & Finance Data Pipelines
Build global finance data pipelines and ETL/ELT workflows on Snowflake for a biotech client, blending data sources and collaborating with finance teams and engineers.
Data Engineer: ETL/ELT & Cloud Data Pipelines
Designs and optimizes ETL/ELT pipelines in Oracle and GCP, building data flows with Airflow to feed reporting and analytics teams.
Senior Data Engineer – AI & Data Pipelines (Hybrid Poland)
Designs, builds, and maintains scalable data pipelines and ETL/ELT processes for AI-powered products and enterprise data solutions.
Staff Data Engineer - Build Scalable Data Pipelines (Remote)
Design and build scalable data pipelines and end-to-end data products for a healthcare company, ensuring robust data collection, modeling, and delivery.
Senior Databricks Data Engineer - Cloud Data Pipelines
Design and implement Databricks-based data pipelines in Python for large-scale datasets, ensuring security and scalability in cloud environments.
Senior Data Engineer: Build Scalable Pipelines & Data Lakes
Senior Data Engineer designs scalable data pipelines and lakes, builds robust data models, and optimizes processes using Hadoop, Spark, Python, Java, or Scala.
Senior Data Engineer - AI-Driven Data Pipelines (Hybrid Warsaw)
Designs and maintains scalable data pipelines and cloud-based data infrastructure using Python and SQL.
Senior Data Engineer — Build Robust Data Pipelines (Hybrid)
Designs, builds, and optimizes cloud-based data pipelines and processes using SQL and Python to ensure reliable data management and compliance.
Senior Data Engineer - Build Scalable Data Pipelines & Analytics
Build and optimize ETL/ELT pipelines and data workflows using Python, SQL, Snowflake, and AWS to enhance logistics intelligence.
AWS Cloud Data Engineer — ETL, PySpark & Data Pipelines
Designs, builds, and maintains AWS-based data pipelines using Python and PySpark to process and transform large datasets for analytics and reporting.
Cloud DevOps Engineer — Kubernetes, CI/CD & Data Platform
Mid-level DevOps engineer building and maintaining cloud-native data platforms, CI/CD pipelines, and Kubernetes infrastructure for analytics and AI projects.
Cloud Data Engineer: Build Modern Data Lakes & Pipelines
Builds and optimizes cloud data lakes and pipelines using Python and SQL to enable modern data infrastructure.
Data Engineer
Designs and maintains Big Data pipelines, data warehouses, and analytics platforms using Spark, Hadoop, and cloud tools to enable data-driven business decisions.
Data Engineer, Managed Data Services & Cloud Pipelines
Build and maintain GCP-based data pipelines and cloud services for enterprise clients, using Python, Java, SQL, and Looker.