Data Engineering Jobs in Poland
There are 2,577 open Data Engineering jobs in Poland on freehire right now. 563 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 38%
- azure 35%
- ai 34%
How the work is done
- Hybrid 576 · 22%
- Remote 408 · 16%
- Onsite 18 · 1%
Visa sponsorship offered in 48% of the 159 postings that state a position on it.
Seniority
- Senior 963
- Lead 173
- Middle 86
- Junior 67
- Staff 27
- Principal 22
Who is hiring
- 1000+ employees 410
- 501-1000 employees 213
- 51-200 employees 93
- 11-50 employees 23
- 201-500 employees 11
Data Engineer – sektor bankowy i finansowy
Builds and maintains big data pipelines and infrastructure for financial services, using SQL, Python, and cloud/data tools like Spark, Kafka, and Databricks to process banking/financial data.
Data Engineer - AWS Ecosystem
Builds and maintains AWS-based data pipelines, processes large-scale data, and optimizes data storage/retrieval using AWS services like Glue, EMR, Redshift, and S3.
Cloud Data Engineer (AWS)
Builds and maintains AWS-based data pipelines and infrastructure for big data/analytics projects, ensuring scalability and performance while collaborating with data science teams.
Process Reinvention Data Engineer
Mid-level data engineer focused on backend process reinvention, leveraging SQL, Python, and Pandas to optimize data workflows and drive strategic consulting solutions.
Data Engineer (with Snowflake/Databricks)
Builds and maintains data pipelines using Databricks and Snowflake for clients in a consulting role.
Big Data Engineer
Builds and optimizes large-scale data pipelines and processing systems using Apache Spark, Hadoop, and cloud platforms to enable data-driven insights and analytics for the company’s operations.
Streaming Data Engineer
Build and maintain real-time data pipelines using Python, Java, and AWS for streaming analytics in a Big Data/Data Science team.
Data Engineer (Databricks)
Mid-level Data Engineer to build, optimize, and maintain data pipelines using Databricks, SQL, Python, and Scala for data processing and analytics.
Data Engineer
Mid-level data engineer role focused on Big Data/Data Science tasks, requiring SQL expertise to process and analyze data within Randstad Polska’s Polish office.
Data Engineer
Builds and maintains big-data pipelines and data infrastructure using Java, Python, or Scala on Windows.
Data Engineer
Builds and maintains data pipelines, transforms raw data into usable formats, and ensures data integrity for analytics and business intelligence using ETL, SQL, Kafka, and cloud/data platforms.
Data Engineer (Microsoft Fabric)
Data Engineer will design and implement data pipelines in Microsoft Fabric, integrate diverse data sources, transform batch data, and ensure data quality/validation. Core tech: PySpark, SQL, Delta/Parquet, Azure Synapse, and Git-based workflows.
Data Engineer (Microsoft Fabric)
Builds and maintains scalable data pipelines using Microsoft Fabric, Azure Synapse, and PySpark to process large datasets, integrating diverse sources like Excel into a layered architecture for production-grade analytics.
Data Engineer
Builds and maintains a Microsoft Fabric-based data layer that integrates multiple sources into versioned, auditable datasets for insurance risk models.
ZAP 51052 Data Engineer / Senior Data Engineer Microsoft Fabric
The Data Engineer will develop and maintain data pipelines within the Microsoft Fabric ecosystem for a financial sector client. The role involves building PySpark notebooks, managing data quality, and ensuring efficient data integration and transformation.
Senior Data Engineer
Senior Data Engineer designing and building scalable cloud-native data platforms, implementing near-real-time event-driven ingestion pipelines, and optimizing Spark/PySpark workflows with CI/CD best practices.
Data Engineer (Snowflake+Dbt)
The Data Engineer will develop and maintain analytical data pipelines and models within a Snowflake and DBT environment for a pharmaceutical client. The role involves implementing business requirements, ensuring data quality, and collaborating within an Agile team.
Senior Data Engineer (Healthcare domain)
Designs and optimizes large-scale cloud data pipelines and architectures for healthcare data, using Python, PySpark, and cloud platforms like Azure, Snowflake, and Databricks to ensure seamless data integration and performance.