Data Engineering Jobs in Poland
There are 2,574 open Data Engineering jobs in Poland on freehire right now. 562 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(Databricks)
Design and build large-scale data pipelines on Databricks using Python and cloud-native tools, ensuring secure, scalable data processing for downstream systems and reports.
Senior Google Data Engineer
Designs and builds scalable data pipelines on Google Cloud using BigQuery, Dataflow, and Airflow to support analytics and AI workloads.
Hybrid Data Engineer – GCP, Real-Time Pipelines
Build and maintain production-grade GCP data pipelines with Python and SQL, ensuring data quality and integrity in a regulated environment.
Senior Data Engineer – Remote Data Platforms
Senior Data Engineer builds and maintains scalable data pipelines using Databricks to support analytics and business needs.
Data Engineer( Microsoft Fabric)
Build and maintain Microsoft Fabric pipelines and data models using PySpark and Spark SQL, following medallion architecture to deliver scalable analytics solutions.
Senior / Principal Data Engineer
Design and build scalable data pipelines and analytics platforms for chemical manufacturing, enabling predictive maintenance, optimization, and AI-driven solutions using Python, Databricks, and cloud technologies.
Senior Data Engineer room
Build and maintain data pipelines, warehouses, and lakes using Oracle, PostgreSQL, BigQuery, Kafka, and Python to feed analytics and reporting systems.
Snowflake Data Engineer - Hybrid|Build Scalable Pipelines
Designs and builds scalable data pipelines in Snowflake, ensuring data quality and security while collaborating with cross-functional teams.
Senior Big Data Engineer
Builds and optimizes large-scale data pipelines using Scala, Spark, Kafka, and Airflow to process massive datasets for global stakeholders in the mobile app ecosystem.
Data Engineer @ Scalo
Builds and maintains ETL pipelines, optimizes databases, and creates data visualizations using SQL, Python, and tools like Power BI or Elasticsearch for financial-sector clients.
Senior Data Engineer
Senior Data Engineer designs and builds scalable data pipelines and warehouses, mentors junior engineers, and ensures reliable data delivery for analytics and business insights.
Senior Data Engineer
Senior Data Engineer builds and maintains ETL/ELT pipelines, data models, and quality checks using AWS, Spark, Python, and Databricks to deliver clean data for analytics and ML teams.
Junior Data Engineer
Build and maintain ETL pipelines using Spark/Scala to move and transform data between systems, ensuring quality and integration with microservices in a hybrid Warsaw role.
Senior Data Engineer
Senior Data Engineer builds scalable data platforms using cloud tools (Azure, GCP, AWS), Databricks, and modern warehouses (Synapse, BigQuery, Redshift, Snowflake) to enable data-driven decisions.
Data Engineer(GCP)
Designs and builds scalable data pipelines on Google Cloud, focusing on BigQuery, Dataflow, and Airflow to support analytics and AI workloads.
Remote Big Data Engineer: Palantir Foundry Pipelines
Builds and scales Palantir Foundry data pipelines in Python/SQL, turning business needs into working data models for analytics teams.
PySpark Data Engineer
Builds and maintains scalable data pipelines using PySpark, Databricks, and Azure to process and transform data for reliable business insights.
Junior Data Engineer
Builds and maintains data pipelines and ETL processes to integrate financial platforms (e.g., Yardi, Salesforce) with BI tools, ensuring data quality and alignment with business needs.