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 (Python / Apache Spark / Azure)
Builds and optimizes data pipelines using Python, Apache Spark, and Azure tools to process and transform large datasets efficiently.
Data Engineer – bankowo‑finansowy: ETL/SQL/Python
Designs and builds data pipelines and ETL/ELT processes using SQL, Python/Scala/Java to process large datasets for a fintech company.
Senior Data Engineer – Azure ETL & Data Platform Expert
Senior Data Engineer designs and maintains Azure-based ETL pipelines using Data Factory, Databricks, and SQL, ensuring efficient cloud data workflows.
AWS Data Engineer - Scala/Python, Data Lifecycle Expert
Designs and maintains AWS-based data pipelines using Glue, DMS, Redshift, and S3, writing Python/Scala code and optimizing ETL/ELT workflows.
GenAI Data Engineer: AI-Driven Data Packaging (Hybrid)
Builds and maintains an AI-driven data packaging framework to transform raw data into standardized formats for reliable data products in a hybrid role.
Remote Data Engineer for AI, IoT & Azure
Builds data pipelines and AI/ML integrations for generative AI and IoT solutions on Microsoft Azure, ServiceNow, and Power Platform.
Junior Data Engineer — Hybrid Role in Gdańsk
Junior Data Engineer helps process and manage data pipelines for e-commerce projects at LPP Group, working hybrid (2 days in office).
Senior AWS Data Engineer (AWS Certified)
Design and build AWS-based data pipelines, integrate SAP data, and maintain ETL/ELT workflows using AWS Glue and Python/SQL.
Senior Data Engineer – Databricks, PySpark & ETL
Builds and optimizes ETL pipelines using PySpark and Databricks to move and model data in a data warehouse.
Data Engineer: Predictive Maintenance on Azure Databricks
Builds a predictive-maintenance pipeline for aircraft engines using Azure Databricks, Spark, and Python to process large-scale sensor data.
Snowflake Data Engineer (m/k/n)
Design and build scalable data platforms using Snowflake and Azure, implementing ETL/ELT pipelines and data models for modern data architectures.
Senior Data Engineer: Spark, Python on Azure
Builds and optimizes data pipelines using Apache Spark (Databricks/Azure Synapse), Python, Pandas/Polars, and Parquet/Delta Tables for reliable analytics workloads.
Azure Databricks Data Engineer — Lakehouse & ETL
Design and build scalable Azure Databricks-based data pipelines and lakehouse architectures using Spark and Azure Data Factory to power analytics and reporting.
Geospatial Data Engineer: ArcGIS & AI Solutions
Designs and builds GIS applications with ArcGIS Experience Builder, integrates spatial data workflows, and deploys cloud-based geospatial solutions.
Data Engineer: ETL, SQL & Visualization Expert
Build and maintain ETL pipelines, optimize data flows, and create dashboards using SQL, Power BI/Tableau, and NoSQL/Elasticsearch.
Data Engineer (Insurance Data Platform) | f/m/d
Build and maintain an insurance-focused data platform using Python, AWS Glue, Spark, and Data Mesh principles.