Data Engineering Jobs in Poland
There are 2,574 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 | 85 |
| PLN | month | PLN 14,402 | PLN 18,200 | PLN 21,881 | 70 |
| PLN | year | PLN 202,500 | PLN 270,000 | PLN 339,500 | 50 |
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 574 · 22%
- Remote 408 · 16%
- Onsite 18 · 1%
Visa sponsorship offered in 48% of the 159 postings that state a position on it.
Seniority
- Senior 966
- Lead 173
- Middle 87
- Junior 67
- Staff 27
- Principal 22
Who is hiring
- 1000+ employees 411
- 501-1000 employees 213
- 51-200 employees 93
- 11-50 employees 23
- 201-500 employees 11
Senior Data Engineer – Data Platform
Build and evolve a cloud-native AWS data platform with reusable ETL pipelines, self-service components, and observability tooling for large-scale data processing.
Senior Data Engineer
Design, build, and optimize large-scale data pipelines and warehouses for a finance-automation SaaS, ensuring data quality and accessibility for analytics and product teams.
Python Data Engineer
Builds and maintains scalable Python-based data pipelines and ETL processes for a global bank’s new microservices architecture, ensuring reliable data flows and integration with existing systems.
Data Engineering Manager
Lead a team of data engineers to design and build scalable data platforms using SQL, Python, Spark, and cloud services (AWS/Azure) in a hybrid Warsaw role.
Senior Data Engineer
Designs and maintains scalable data pipelines using Python/Scala, Spark, and SQL on Azure/Databricks to support analytics and reporting.
Senior Data Engineer
Senior Data Engineer builds and transforms financial data pipelines for credit compliance systems, migrating legacy warehouses to Databricks and enabling analytics dashboards.
Senior Data Engineer
Senior Data Engineer builds and scales cloud-based data pipelines and AI-driven analytics platforms using Databricks, Python/PySpark, and Power BI for European clients.
Data Engineer(Pyspark)
Build and maintain PySpark-based data pipelines that process large datasets in distributed environments, ensuring data quality and performance for downstream systems.
Snowflake Data Engineer
Designs and builds scalable Snowflake data pipelines and models to support analytics and cloud-based data capabilities for a modern cloud platform transformation.
Snowflake Data Engineer
Build and maintain Snowflake transformation layers that turn raw banking data into clean, governed datasets for risk modeling and regulatory reporting, using SQL, Snowpark, and Airflow.
Senior Data Engineer
Build and maintain secure, scalable data pipelines and models across on-premise and cloud systems for a Nordic bank’s credit risk platform, using SQL, Snowflake, and Kafka.
Senior Data Engineer
Build and maintain cloud-based data pipelines and APIs to process geospatial data (weather, satellite, locations) for agribusiness insights using Python, PostgreSQL/PostGIS, GCP, and AWS.
Data Engineer (AWS)
Design and build scalable AWS-based data pipelines and cloud-native architectures to process large datasets, using services like Glue, Redshift, Lambda, and Spark.
Senior Data Engineer
Designs and builds scalable data pipelines and processing systems to support real-time analytics and reporting for enterprise clients.
Senior Data Engineer
Senior Data Engineer builds and evolves a scalable enterprise Lakehouse platform using Python, PySpark, Databricks, and Azure services to power analytics and AI workloads.
Analytics / Data Engineer
Build and maintain the data warehouse and pipelines that power reporting, AI workflows, and decision-making for a prop-trading discovery platform.
Junior Data Engineer
Builds and maintains a modern data warehouse using Microsoft Fabric, writes Python/PySpark and T-SQL pipelines, and collaborates with PowerBI teams to deliver analytics.