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 | 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 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 Engineering Lead: Azure DataOps & Pipelines
Lead a team of data engineers to design, build, and optimize scalable Azure-based data pipelines and software solutions for Heineken’s global operations.
Cloud Data Engineer: Data Lake, ETL & Analytics Pipelines
Design and build scalable cloud data platforms, ETL/ELT pipelines, and data lakes in Azure or AWS to support analytics and BI teams.
Data Engineer - Global Pipelines & Cloud Innovation (Hybrid)
Builds and optimizes global data pipelines on GCP, using BigQuery, Dataflow, dbt, and Airflow to deliver clean data for analytics and reporting.
Data Engineer - IAM
Data Engineer maintaining and optimizing RSA Identity Governance databases and data pipelines to support secure identity lifecycle management.
AI/Data Engineer — Cloud Pipelines & ML (Hybrid)
Designs and maintains cloud-based data pipelines and ETL workflows in Python/PySpark and SQL to feed AI/ML services and analytics across a global dairy company.
Snowflake Data Engineer: Cloud Pipelines & AI Solutions
Designs and maintains Snowflake data pipelines and cloud-based data solutions while contributing to ML/GenAI initiatives in a hybrid setup.
Foundry Data Engineer - AI Pipelines & Impact (Flexible)
Builds and maintains AI/ML data pipelines on Palantir Foundry using Python and PySpark to deliver client solutions for European enterprises.
Senior Geospatial Data Engineer - Cloud Pipelines Analytics
Senior Data Engineer builds scalable geospatial pipelines and APIs in Python/SQL with PostgreSQL/PostGIS to process large cloud-hosted datasets for data-driven decisions.
Remote Azure Databricks Data Engineer — Lakehouse & Pipelines
Designs and builds scalable Azure Databricks Lakehouse pipelines using Spark and Azure Data Factory to power analytics and ensure data quality.
GIS Data Engineer
Migrates and converts data into the 3-GIS model using Python, SQL, ESRI, and FME; supports clients with data mapping and system corrections.
GCP Data Engineer: BigQuery & Scalable Pipelines
Designs and maintains scalable data pipelines on GCP, models data in BigQuery, and optimizes queries and costs using Airflow, Terraform, and BI collaboration.
Data Engineer – Data Platform
Builds and maintains scalable data pipelines for Allegro’s clickstream, ensuring high-quality data for AI agents and business dashboards using Python, Spark, and streaming validation.
Data Engineer
Designs and builds cloud-based data pipelines and ETL workflows on Azure or GCP, using Python/Java/Scala, Spark, Kafka, and Airflow to modernize and migrate enterprise data systems.
Data Engineer
Build and maintain data pipelines and ETL systems for U.S. federal projects, using tools like StreamSets, Palantir Foundry, and AWS.
Aerospace Data Engineer: Cloud Pipelines & Spark
Designs and maintains cloud-based data pipelines using Python, SQL, Databricks, and Spark to process large datasets for predictive maintenance in aerospace.
Data Engineer
Build and maintain a cloud-based data lakehouse for Commercial Risk Solutions, designing scalable ETL pipelines and ensuring data quality to power analytics and decision-making.
Data Engineer
Builds and maintains data pipelines and transformations using Python, PySpark, and notebooks for a new UK-focused data product.
Data Engineer
Build and optimize a Databricks/Spark-based data platform, design scalable ETL/ELT pipelines, and automate enterprise data flows while ensuring security and governance.