Data Engineering Jobs in Poland
There are 2,593 open Data Engineering jobs in Poland on freehire right now. 573 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 14,000 | PLN 18,000 | PLN 21,854 | 71 |
| PLN | year | PLN 207,500 | PLN 270,000 | PLN 339,500 | 52 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- sql 57%
- python 55%
- cloud 51%
- data-engineering 40%
- data-pipelines 39%
- etl 37%
- azure 35%
- ai 34%
How the work is done
- Hybrid 576 · 22%
- Remote 414 · 16%
- Onsite 18 · 1%
Visa sponsorship offered in 48% of the 160 postings that state a position on it.
Seniority
- Senior 974
- Lead 174
- Middle 87
- Junior 67
- Staff 27
- Principal 22
Who is hiring
- 1000+ employees 416
- 501-1000 employees 217
- 51-200 employees 94
- 11-50 employees 24
- 201-500 employees 11
Flexible Azure & Databricks PySpark Data Engineer
Designs and maintains scalable data pipelines on Azure and Databricks using PySpark to support business analytics and reporting.
Senior Data Engineer: Remote Cloud & Analytics Leader
Leads design and delivery of scalable data engineering solutions using Python, Java, and Databricks to support analytics and business decisions in a hybrid work environment.
Senior Big Data Engineer — Remote & Flexible Hours
Designs and builds large-scale data processing systems handling billions of requests daily using Java, Scala, or Python.
Senior / Mid Data Engineer (Data & AI Factory), Permanent contract
Build and maintain data pipelines, AI models, and transformations using Python, GCP, Dataiku, and SQL to turn raw data into business insights for enterprise clients.
Senior Data Engineer – ETL/ELT, Data Lake, BigQuery
Builds and maintains ETL/ELT pipelines for a data lake and warehouse using Oracle, PostgreSQL, BigQuery, and Informatica PowerCenter.
Lead Data Engineer — Lakehouse & BI Platform
Designs and builds a Lakehouse data platform and BI pipelines using Databricks, Spark, and Power BI to power global analytics at a logistics company.
Hybrid Data Engineer: GCP, Airflow & BigQuery
Builds and maintains Dentsu’s data platform on GCP, writing Python pipelines in Airflow and working with BigQuery to integrate diverse data sources.
Senior Data Engineer, AI & LLM Solutions
Build scalable data pipelines and AI/ML solutions using LLMs for a banking client’s anti-financial crime systems.
Big Data Engineer (Spark/Scala/Java)
Build and maintain a big-data platform on Azure Databricks using Spark, Scala, and Java to support valuation and risk services for a financial-insurance platform.
Azure Data Architect & Lead Data Engineer
Designs and leads Azure-based data platforms using Databricks, SQL, and Python, collaborating with stakeholders to set data strategies and ensure high-quality data delivery.
Senior Data Engineer – Remote (Azure Fabric & Synapse)
Senior Data Engineer builds and maintains Azure Fabric and Synapse pipelines, integrating and transforming data for clients and internal teams.
Senior Python Data Engineer — Hybrid (Kraków)
Build and maintain scalable Python-based data pipelines and ETL/ELT processes for a global banking client’s modern data platform and microservices architecture.
Data Engineering Manager – Lead Data Platform Teams (Hybrid)
Lead a team of data engineers in Warsaw, setting standards and improving a mature data platform using SQL, Python, Spark, and cloud tools while aligning with UK stakeholders.
Data Engineer - Azure/Databricks/AWS (Remote)
Builds and maintains data platforms using Azure, Databricks, and AWS, focusing on Lakehouse architectures, ETL/ELT pipelines, and high-quality data delivery for analytics and AI teams.
Data Engineer - PySpark & Databricks (AML, Hybrid)
Build and migrate AML data pipelines using PySpark and Databricks, centralizing data and designing ETL processes in a hybrid Warsaw role.
Senior Data Engineer - Remote, AI-Powered Data Solutions
Designs and builds scalable data pipelines and warehouses for international clients, ensuring high-quality data systems and reliable performance.
Cloud Data Engineer (AWS / Terraform / Python)
Design and automate AWS-based data infrastructure using Terraform and Python, building scalable pipelines for ingestion, transformation, and validation.