Data Engineering Jobs in Poland
There are 2,573 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 | 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
Designs and maintains scalable data pipelines and BI solutions using Azure Synapse, Databricks, and PySpark to turn raw data into actionable insights for DSV’s global operations.
Data Engineering Lead
Lead a team of data engineers to build and maintain scalable Azure-based data pipelines and ETL processes using Databricks, PySpark, and SQL, while mentoring engineers and driving DataOps best practices.
Senior Data Engineer
Build and scale ad-tech data infrastructure that processes billions of events daily, transforming raw ad server and SSP/DSP data into real-time analytics for campaign optimization and business intelligence.
Data Engineer room
Builds and maintains ETL pipelines, optimizes databases, and creates financial-data reports using SQL, Elasticsearch, Kubernetes, and Python.
Senior Data Engineer
Senior Data Engineer builds scalable pipelines to process billions of market data records for trading systems using Python, SQL, Spark, and Kafka.
Expert DevOps/SRE Engineer for a new strategic Data Platform
Build and automate a new data platform using Kubernetes, AWS EKS, Terraform, and Prometheus/Grafana for a large Nordic bank.
Data Engineer (Databricks)
Senior Data Engineer builds scalable data pipelines in Databricks and PySpark, refactors legacy SQL logic, and designs Medallion architecture for a large insurance client’s cloud migration.
CLOUD DATA ENGINEER
Design and build cloud data pipelines in AWS using PySpark and AWS Glue to process and transform data for analytics and reporting.
Senior Data Engineer
Build and maintain Azure + Databricks pipelines that ingest, transform, and deliver trusted datasets for an automotive application using PySpark, Spark SQL, and Azure Data Factory.
Lead Data Engineer
Lead a global team to build and optimize data pipelines and platforms using Python, SQL, Databricks, and cloud tools, ensuring scalable, high-quality data management for a large pharmaceutical company.
Data Engineer
Build and migrate data pipelines for AML risk-analysis systems using Python, SQL (Teradata), PySpark, and Databricks to centralize banking data and enable analytics.
Streaming Data Engineer: Build Scalable Pipelines & ML Data
Design and build scalable data pipelines and platforms using Python/Java and Spark to ensure high-quality, performant data flows for analytics and ML.
Data Engineer
Designs and builds scalable data pipelines and warehouses using cloud tools (AWS/Azure), SQL/NoSQL, and big-data frameworks (Spark, Kafka) to enable analytics and ML for clients.
Data Engineer
Builds and maintains data pipelines, ETL processes, and reporting systems using SQL, SSIS, SSAS, and PowerBI for a manufacturing and aerospace company.
Data Engineer
Builds and migrates data pipelines for AML compliance, centralizes data from multiple sources, and develops ETL processes using PySpark and Databricks.
Data Platform Engineer (DevOps / Cloud)
Build and maintain cloud-based data platforms using Azure, Databricks/Snowflake, Terraform/Bicep, and CI/CD pipelines for Deloitte’s clients.
Data Engineer
Build and maintain data pipelines, warehouses, and lakes using SQL, Python, Spark, and cloud platforms to power analytics and AI products.