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
AWS Cloud Data Engineer — ETL, PySpark & Data Pipelines
Designs and maintains AWS-based data platforms, builds scalable ETL/ELT pipelines using PySpark, and manages cloud infrastructure for data processing.
Senior Data Engineering Lead - Cloud Data Pipelines, Hybrid
Lead a team to build cloud-native data pipelines and an ODS platform using Kafka, containerized microservices, and CI/CD for Aviva’s enterprise data foundations.
Senior Data Engineer: Scalable Pipelines & Data Quality
Build and optimize scalable data pipelines and models for a gaming-focused HR platform, ensuring data quality and governance using Python, DBT, Airflow, PySpark, and AWS.
GCP Data Engineer – BigQuery & Pipelines
Design and maintain scalable data pipelines on Google Cloud using BigQuery, SQL, Python, Airflow, and Terraform for analytics and BI teams.
Data Engineer | Cloud Pipelines & Databricks
Designs and maintains cloud-based ETL/ELT pipelines using Databricks, Spark, and Python to feed marketing analytics and reporting for a global FMCG brand.
Remote Data Engineer - ETL & Pipelines (Contract)
Designs and maintains ETL pipelines and data solutions for U.S. federal projects, using tools like StreamSets, Talend, or AWS services.
Senior Python Data Engineer — Pipelines & APIs
Designs and maintains Python-based data pipelines and APIs for pricing and vehicle data using Airflow, FastAPI/Flask, and SQL databases in a hybrid Warsaw role.
Data Engineer
Designs and maintains scalable data models and ETL pipelines for a real-estate platform, using Snowflake, Python, and SQL to integrate property data and power analytics.
Data Engineer
Build and maintain data pipelines, storage, and processing systems using AWS Glue, Lambda, and Python to support analytics and business processes for global clients.
Data Engineer
Builds and designs a modern, cloud-native data platform, designs data models and flows, and modernizes legacy systems while collaborating with business and tech teams.
Hybrid Data Engineer: Azure Pipelines & Analytics
Build and maintain Azure-based data pipelines and analytics infrastructure using Databricks, DevOps, and Python to support business decision-making.
Data Engineer
Build and maintain Microsoft Fabric pipelines and data models using PySpark, following medallion architecture to deliver scalable analytics solutions.
Senior Data Engineer — Scalable Pipelines & Microservices
Designs and maintains microservices for a wholesale banking data ingestion layer using Java, Spark, and Big Data tech.
Data Engineer: Gold Pipelines, Fabric & PySpark
Maintains and evolves Microsoft Fabric, builds data pipelines, and optimizes PySpark transformations for scalable, high-quality data models.
Junior Data Engineer, GCP Pipelines & Medallion
Build and maintain GCP-based data pipelines using Medallion architecture to process and integrate HR data for HeadHR’s product.
Data Engineer
Design and maintain a cloud-based lakehouse on AWS, building real-time ingestion pipelines with Kafka/Debezium and PySpark, and curating trusted analytics layers for fintech decision-making.
Market Intelligence Data Engineer: Insightful Pipelines
Builds and maintains big-data pipelines and cloud infrastructure to feed market-intelligence insights to investment teams using Python.