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
Azure Data Platform Engineer: Scale Pipelines & Lakehouse
Build and maintain Azure-native data pipelines and lakehouse infrastructure, ingesting data from APIs, IoT, ERP, and files to create analytics-ready datasets for finance, operations, and supply chain.
Remote GCP Data Engineer: BigQuery, Python & BI
Builds and maintains GCP data pipelines using BigQuery, Python, and BI tools to power reporting and analytics for a large bank.
Data Engineer: Semantic Layer & ELT for Open Analytics
Builds and optimizes an open analytics stack (ClickHouse, Cube.js, Superset) by designing a semantic layer and robust ELT pipelines to replace Power BI logic.
Senior Data Engineer – PySpark, Hadoop & Airflow (Hybrid)
Designs and builds scalable data pipelines using PySpark, Hadoop, and Airflow in a DevOps environment to support analytics and reporting.
Lead Data Engineer, GCP Platform Architect - Remote
Design and build scalable GCP-based data platforms for analytics and reporting using Databricks and Snowflake.
Senior Data Engineer: Risk Platform & Java Microservices
Builds cloud-based risk data pipelines and Java microservices for a fintech platform, optimizing performance and cost in a hybrid setup.
Senior Data Engineer: Remote Azure Synapse & Fabric Expert
Senior Data Engineer builds and maintains Azure Synapse and Microsoft Fabric pipelines, transforming raw data into usable assets for clients and internal teams using Python, SQL, and Agile practices.
Senior Semantic Data Engineer & Knowledge Graph Architect
Designs and maintains a semantic data hub and knowledge graph to integrate business data with AI systems, ensuring high-precision context for AI assistants and agents using RDF/OWL, GraphDB, Kubernetes, and GraphQL.
Junior Data Engineer - Hybrid, Python/SQL ETL
Builds and monitors a Microsoft-Fabric-based data warehouse, writes PySpark and T-SQL ETL/ELT pipelines, and collaborates with Power BI teams to deliver business-facing analytics.
Senior Semantic Data Engineer — AI Knowledge Graph
Design and maintain enterprise knowledge graphs to power AI workflows, ensuring high-quality data access and reducing AI hallucinations via scalable pipelines and GitOps deployments.
Snowflake Data Engineer - Cloud & AI Solutions (Hybrid)
Design and build Snowflake data pipelines, migrate on-prem warehouses to Snowflake, and help implement AI/ML solutions in a cloud environment.
Senior Data Platform Engineer - ML Pipelines & Lakehouse
Build and scale data infrastructure for AI-driven dental products, owning pipelines from ingestion to model training on AWS.
Data Engineer (Databricks) @ Clouds on Mars Sp. z o.o.
Design and deliver Azure-based data platforms, including data warehouses, ETL pipelines, and processing frameworks using Databricks, Azure Synapse, and Fabric.
(Senior) Snowflake Data Engineer - IT Contracting @ Michael Page
Design and build Snowflake-based data pipelines and warehouses, integrate with Microsoft Azure, and optimize SQL queries for a global consulting firm.
Snowflake Data Engineer with German | Cloud & Engineering @ Deloitte
Build and migrate a scalable Snowflake/Azure data platform, including ETL pipelines and data models, integrating streaming and relational sources.
Lead Data Engineer (GCP / PySpark) @ Michael Page
Lead a data engineering team to build and migrate media-industry data platforms on GCP using PySpark, while removing technical blockers and guiding architectural decisions.
Senior Data Engineer (with GCP experience) - ICH Europe
Design and build scalable data pipelines on GCP (BigQuery, Cloud Composer) to feed AI/ML models, using Python, SQL, dbt and Data Vault 2.0.
Senior Data Engineer (Kafka) — Real-Time Gaming Analytics
Senior Data Engineer builds real-time analytics pipelines for gameplay insights using Python and Kafka to process streaming event data.