Data Engineering Jobs in Poland
There are 2,580 open Data Engineering jobs in Poland on freehire right now. 567 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 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 575 · 22%
- Remote 411 · 16%
- Onsite 18 · 1%
Visa sponsorship offered in 48% of the 159 postings that state a position on it.
Seniority
- Senior 971
- 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
Big Data Engineer (junior/mid)
Build and optimize data pipelines using Spark, Hadoop, and Scala to detect fraud and financial crime for a global bank.
Senior Data Engineer: Reliable, Secure Data Platforms
Designs and maintains secure, scalable data pipelines in Python and SQL on AWS to ensure high-quality, trustworthy data for analytics and decision-making.
Azure BI & Data Engineering Lead
Leads Azure-based data pipelines and ETL processes for BD’s reporting and analytics, ensuring governance and delivering insights to cross-functional teams.
Lead Data Engineer — AWS Data Platform Architect
Lead the design and delivery of an AWS-native data platform that powers underwriting intelligence and AI-driven insights using Python, .NET, and modern cloud tools.
Data Engineer (Krakow/Wroclaw/Warsaw, Poland)
Build and maintain data pipelines and distributed systems in Python, using Spark, Databricks, and Snowflake to deliver AI and analytics solutions for clients.
Junior Data Engineer: ERP Data Integrations & ETL
Junior data engineer builds and maintains ERP and BI integrations, ensuring data quality and scalable ETL pipelines to support business analytics.
Azure Data Engineer with Databricks (AI&Data)
Build and maintain scalable Azure data pipelines and lakehouse solutions using Databricks, PySpark, and Azure Data Factory to process and transform large datasets for enterprise clients.
Azure Data Engineer with Databricks (AI&Data)
Build and maintain scalable Azure data pipelines and Databricks lakehouse solutions, transforming raw data into analytics-ready assets while collaborating with cross-functional teams.
Senior Data Engineer - Snowflake | Remote/Hybrid
Senior Data Engineer builds scalable Snowflake-based data platforms, designs ETL pipelines, and models large datasets for analytics in a hybrid Poland role.
AWS Data Engineer - Talent Pool
Designs and maintains scalable AWS data pipelines using S3, Glue, Lambda, Redshift, and EMR to integrate and deliver data for analytics and reporting.
Senior Data Engineer, AI-Driven ETL & GCP Pipelines
Designs and maintains scalable ETL pipelines and data models on GCP, using Generative AI to improve development workflows while ensuring data quality and accessibility.
Senior Data Engineer: AdTech Data Infra & BI
Senior Data Engineer builds and scales ad-tech data pipelines that ingest SSP/DSP/GAM feeds and CRM data to power real-time BI dashboards for campaign optimization.
Graph AI Data Engineer | Remote & Flexible
Designs and builds graph-based data solutions and semantic models, integrating knowledge graphs with enterprise AI platforms and GenAI use cases.
Senior Data Engineer | Hybrid, Databricks & Data Platform
Design and maintain data architectures, ETL pipelines, data warehouses, and data lakes using Databricks, Snowflake, Python, and SQL for Erste Bank Polska’s analytics solutions.
Senior Data Engineer - Databricks/Azure Data Platform
Build and optimize a modern data platform on Databricks and Azure, designing scalable ETL/ELT pipelines and integrating data from Delta Tables and Event Hub using Python and PySpark.
Senior Data Engineer: Cloud Data Platform & ETL
Designs and builds scalable cloud data platforms, ETL pipelines, and data warehouses using BigQuery, DBT, Airflow, and Trino on GCP to support analytics and data-driven decisions.
Senior Data Engineer (Hadoop, Spark)
Build and maintain scalable data pipelines using PySpark, Hadoop, and Airflow in a hybrid Agile environment, collaborating with analysts and engineers to deliver high-performance ETL solutions.
Senior Data Engineer: Big Data & Cloud Analytics
Builds and optimizes big-data pipelines using Spark, Azure, and Databricks to deliver analytics and dashboards in Power BI for a global product team.
Senior Data Engineer — Databricks, Data Vault & Analytics
Senior Data Engineer builds and maintains a Databricks-based data platform for regulatory reporting, transforming legacy warehouses and creating end-to-end analytics pipelines.