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 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 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
Senior Agentic AI & Data Engineer - Multi-Agent Systems
Senior Engineer designs and optimizes multi-agent AI systems and data architectures on cloud platforms like AWS, using Python.
Remote Lead Snowflake Data Engineer - ETL/SQL Expert
Designs and builds Snowflake-based ETL pipelines and SQL transformations for a fintech company, gathering requirements and delivering solutions in an Agile workflow.
Data Engineering Tech Lead: Spark/Scala, Cloud, Hybrid
Lead a team building and scaling big-data pipelines in Scala/Spark on cloud infrastructure for a financial-data platform, while mentoring engineers and owning technical delivery.
Data Engineering Tech Lead: Spark/Scala Architect & Mentor
Leads a team to design and deliver scalable data pipelines using Scala, Spark, and cloud tech, while mentoring engineers in a hybrid Warsaw role.
Senior Big Data Engineer - Spark, Scala, Python, AWS
Builds and maintains distributed big-data pipelines using Spark, Scala, and Python in an AWS environment, collaborating with DevOps and QA teams.
Real-Time Streaming Data Engineer: Kafka, Spark & Cloud
Designs and builds scalable data pipelines using Kafka, Spark, and cloud tools, and advises clients on data architecture.
Senior Data Engineer (with GCP experience) - ICH Europe
Build and maintain scalable data pipelines on GCP for AI initiatives, using Python, SQL, dbt, and BigQuery to enable large-scale analytics and ML workloads.
Senior AI Data Engineer (AI/Data Platform, Cloud Technologies, Python)
Design and build scalable cloud-native AI data platforms and pipelines using Python, Spark, and Kafka to power machine learning and GenAI initiatives for enterprise clients.
Regulatory Data Engineer — Cloud-Native AI & Real-Time
Build cloud-native, real-time data pipelines and AI-driven regulatory solutions for a global investment bank using distributed systems and modern cloud tech.
GCP Data Engineer — Wpływowy projekt danych i ML
Design and implement data pipelines on Google Cloud Platform, focusing on BigQuery and SQL to support analytics and ML initiatives.
Data Engineering Consultant for AI-Powered Data Systems
Builds and maintains scalable data pipelines for AI applications, collaborating with data scientists and ML engineers using Python and SQL.
Data Engineer: Azure + Databricks for Big Data & ML
Design and build scalable data pipelines and applications using Azure and Databricks for clients across industries.
Senior Big Data Engineer — Spark & Scala, Cloud Infra
Designs and verifies Spark/Scala data pipelines and cloud infrastructure for a consultancy specializing in big-data and cloud migration projects.
Big Data Engineer - Innovation / Project / Organization - Warsaw, Poland
Build and maintain a large-scale data platform for structured finance using Spark/Scala, SQL, and DevOps tools to process and industrialize big datasets for CIB’s GLBA business line.
Hybrid Big Data Engineer - Spark/Scala or Python
Designs and builds distributed data-processing pipelines using Spark/Scala or Python, integrating and optimizing large-scale datasets for analytics.
BigQuery Data Platform Engineer & Data Modeling
Build and optimize Google Cloud data pipelines using BigQuery, SQL, and Data Fusion to create scalable analytics solutions for stakeholders.
Remote GCP Data Engineer for Financial Crime Analytics
Design and build GCP-based data pipelines and models for financial crime analytics, then visualize insights in Power BI and MS Fabric.
Big Data Engineer – Spark/Scala on Azure Databricks (Hybrid)
Build and maintain scalable big-data pipelines on Azure Databricks using Spark/Scala, Kubernetes, and Terraform for a hybrid role in Kraków.