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
Junior Data Engineer - Hybrid, Snowflake Pipelines
Builds and optimizes Snowflake-based data pipelines, ensuring secure, high-quality data flows for analytics and reporting.
Data Engineer
Builds and maintains data pipelines, ETL/ELT workflows, and a data warehouse to feed internal apps and analytics for a Polish energy-trading company.
Data Engineer
Build and optimize scalable data pipelines, warehouses, and AI/ML integrations in Python and GCP for network investment analytics in a hybrid role.
Data Engineer
Design and build cloud and on-premise data platforms, ETL pipelines, and warehouses using SQL, Python, BigQuery, DBT, Airflow, and Trino to support analytics and reporting.
Senior Data Engineer: Databricks & Azure Pipelines
Designs and builds scalable data pipelines on Databricks and Azure, using Python/PySpark and Azure Data Factory to integrate and process large datasets.
Data Engineer
Design and build scalable data pipelines and applications for regulatory reporting in a global investment bank, using Python, Databricks, Spark, and cloud tech.
Data Engineer — Remote/Hybrid, AI‑Driven Data Pipelines
Design and maintain scalable ELT/ETL pipelines using Airflow, Snowflake, and Databricks to feed AI-driven analytics and models.
Lead Data Engineer: Scalable Pipelines & Platforms
Designs and builds scalable ETL/ELT pipelines and data platforms using Hadoop, Spark, and Splunk, integrating HR data sources and collaborating with BI and analytics teams.
Azure Data Engineer with Databricks — Remote-Eligible Data Pipelines
Builds and optimizes Azure-based data pipelines using Databricks to integrate diverse sources into scalable analytics platforms.
Data Engineer - Build High-Throughput AI/ML Data Pipelines
Design and maintain high-throughput data pipelines for AI/ML systems, ensuring data quality and ethical standards while collaborating with cross-functional teams.
Lead Data Engineer: Cloud-Native Data Platforms & Pipelines
Lead a team to build and maintain cloud-native data platforms and pipelines on Azure, AWS, and GCP, ensuring scalable, secure, and governed data flows for enterprise clients.
Data Engineer – Pipelines, Modeling & Analytics
Build and maintain data pipelines and storage, model data, and implement ETL processes using PostgreSQL, Airflow, DBT, and AWS to support analytics and decision-making.
Senior Data Engineer: Pipelines, BI Dashboards & Mentoring
Build and maintain data pipelines that extract, transform, and load ERP, SharePoint, API, and file data, then model it for BI dashboards and mentor a junior engineer.
GCP Data Engineer | Hybrid Kraków | ETL & Data Warehousing
Designs, builds, and optimizes GCP-based ETL pipelines and data warehouses, ensuring performance, data quality, and alignment with business needs.
Cloud Data Engineer: BigQuery & Pipelines
Designs and maintains scalable data pipelines on GCP using BigQuery and Cloud Storage, applying data engineering best practices and CI/CD.
AI/ML Data Engineer: Build Scalable Data Pipelines
Design and build scalable ETL pipelines and AI/ML data platforms, ensuring data quality and developing APIs for Aptiv’s data processing needs.
Senior Data Engineer: Scale Pipelines & Data Governance
Designs and builds large-scale data pipelines and storage systems, ensuring governance and quality while collaborating with data scientists and engineers.
Senior Data Engineer: Azure Data & AI Pipelines (Remote)
Senior Data Engineer builds and maintains Azure-based data pipelines and AI integrations, ensuring reliable data assets for clients and internal teams.