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
Data Engineer
Builds and scales a Lakehouse data platform using PySpark, Databricks, Azure services, and ELT pipelines to power analytics and AI workloads.
Azure Data Engineer - GenAI & Data Pipelines
Build and maintain Azure and Databricks data pipelines for GenAI and LLM applications, extracting, transforming, and integrating data in production environments.
LLM Data Engineer - Scalable Pipelines & Data Lineage
Build and maintain scalable data pipelines and lineage for LLM platforms, integrating Snowflake/Snowpark and AWS services to support large-scale model training and evaluation.
Senior Data Engineer - Cloud Pipelines & Integrations
Builds scalable cloud data pipelines and API integrations using Databricks and cloud architectures to deliver analytics and insights for a product-focused team.
Data Engineer (Junior/Mid) @ Falck Digital Technology Poland Sp. z o.o.
Build and maintain data pipelines and models on Azure/Databricks to power analytics and AI use cases for a global healthcare and emergency-services group.
Lead Data Engineer (Streaming & Real-Time Data Platform) @ Banank PL sp. z o.o.
Lead the architecture and build of Banank’s next-gen real-time data platform for digital banking, enabling low-latency streaming pipelines, Customer 360 models, and AI-ready analytics across operational and analytical workloads.
Data Engineer (pharma; 100% remote)
Build and maintain Snowflake-based data pipelines and APIs that feed Finance reporting and analytics, using Python, SQL, Airflow, and dbt in a cloud-first AWS stack.
Junior Machine Learning Engineer (Data Platform) @ Grupa Allegro Sp. z o. o.
Build and maintain large-scale ML platforms and AI solutions for Allegro’s 10M+ user marketplace using Python, PyTorch, and Google Cloud’s Vertex AI and Kubernetes.
Senior AWS Data Engineer @ DCG sp. z o.o.
Design and build AWS-based data ingestion pipelines, integrate SAP data, and maintain ETL processes using AWS Glue for reliable analytics.
Data Engineer (Mid) @ Alterdata.io sp. z o.o.
Build and maintain cloud-based data pipelines and warehouses using Python, SQL, and tools like GCP, Azure, Snowflake, and dbt to support BI and AI systems.
Data Engineer (Hadoop) @ Verita HR
Builds and optimizes Hadoop/Spark-based ETL pipelines in Python for a large bank, handling raw and structured data to support analytics and BI teams.
Data Engineer @ Antal
Build and optimize cloud-based data pipelines and warehouses using SQL, Python, and Snowflake/Redshift/BigQuery to enable scalable analytics and reporting.
Data Engineer - Poland, Poland
Build and maintain a cloud-based lakehouse data architecture for Aon’s Commercial Risk Solutions, designing scalable ETL pipelines and ensuring data quality for analytics.
Senior Data Engineer
Build and maintain scalable data pipelines and warehouses using SQL, Python, Snowflake, and ETL/ELT tools for finance-focused clients.
Executive Azure Data Engineer - Data & Cloud
Build and maintain cloud data platforms (Data Lakehouse, Data Warehouse) in Azure, designing ELT pipelines, streaming flows, and CI/CD automation for enterprise clients.
Corporate Data Governance Lead (m/f)
Lead the enterprise-wide Data Governance framework for a healthcare group, defining policies, ownership, and quality standards to ensure data is secure, reliable, and used strategically across the organization.
Senior Data Engineer (Databricks Migration)
Build and migrate data pipelines using PySpark and Databricks, designing Lakehouse architectures and optimizing SQL/Spark workloads for a data platform transition.
Business Intelligence and Data Engineering Manager
Lead a team managing Azure-based data pipelines, ETL processes, and Power BI reporting for healthcare distribution analytics, ensuring data quality and business insights.