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 Staff, Data Engineer
Senior Staff Data Engineer builds and optimizes high-throughput ad-tech pipelines processing billions of daily events, modernizing legacy systems into cloud-native lakehouse architectures.
Senior / Principal Data Engineer
Design and build scalable data pipelines and ML-ready datasets for chemical manufacturing, enabling predictive maintenance, optimization, and automation using Python, SQL, and cloud-native tools.
Senior Cloud Data Engineer
Build and scale AWS-based data pipelines that power ML models for 100+ organizations, ensuring production-grade reliability under real load.
Senior Data Engineer (Data & AI Factory)
Build and maintain data pipelines, AI models, and transformations using GCP, Dataiku, Python, and SQL to turn raw data into business insights for enterprise clients.
Data Engineering Team Lead
Lead a global data engineering team to build and maintain GCP-based pipelines and platforms that power analytics, compliance, and AI use cases for a FTSE 100 fintech.
Data Engineer (all genders)
Designs and maintains scalable data pipelines and a central data platform using Databricks and Snowflake to power analytics and AI/ML across the organization.
Data Engineer (all genders)
Designs and maintains scalable data pipelines and a central data platform using Databricks, Snowflake, and Python to power analytics and AI/ML across the organization.
Lead Data Engineer – Client Tech & AI Pipelines
Lead a team to design and build scalable data pipelines for analytics and AI projects using distributed systems like Databricks and NoSQL databases.
Big Data Engineer IV
Design and build large-scale data pipelines and warehouses for a high-traffic ad exchange, processing over 1 PB of daily events with Java/Scala/Python, Spark, BigQuery, and GCP.
Big Data Engineer IV
Build and optimize large-scale data pipelines and warehouses for a digital ad exchange handling billions of daily requests, using Java/Scala/Python, Spark, BigQuery, and GCP.
Senior Big Data Engineer
Senior Big Data Engineer builds and maintains scalable data pipelines using Scala, Spark, and Kubernetes to process large datasets and generate reports for enterprise clients.
Data Engineer (DataBricks) room
Data Engineer builds and migrates AML data pipelines in Databricks using PySpark, SQL (Teradata), and Python to centralize and process financial data.
Senior Data Engineer (Fulfillment)
Senior Data Engineer builds and scales data pipelines for Tesco’s fulfillment operations, optimizing order and delivery data to improve logistics and delivery efficiency using Spark, Hive, and Airflow.
Data Engineer (K/M)
Builds and maintains ETL pipelines and BI dashboards for a bank client using SQL, Python, GCP, and tools like Power BI and Tableau.
SAP BW/4HANA Data Engineer — BI Pipelines & ETL
Designs and maintains SAP BW/4HANA and SAP Datasphere data pipelines, integrates SAP and non-SAP sources, and delivers BI solutions while optimizing performance.
Data Engineer (Azure Data Platform)
Design and implement Microsoft Fabric and Azure-based data pipelines, ETL/ELT processes, and AI-driven analytics solutions for enterprise clients.