Data Engineering Jobs in Poland
There are 2,573 open Data Engineering jobs in Poland on freehire right now. 561 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 37%
- azure 35%
- ai 34%
How the work is done
- Hybrid 574 · 22%
- Remote 408 · 16%
- Onsite 18 · 1%
Visa sponsorship offered in 48% of the 159 postings that state a position on it.
Seniority
- Senior 966
- 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
Data Engineer.
Design and build AMD’s next-generation data platforms, including data lakes and AI/ML pipelines, to support scalable analytics and machine-learning workloads.
Big Data Engineer — Spark Pipelines (Python/Scala)
Build and enhance Big Data pipelines for a banking client using Python/Scala and Spark, applying data warehouse principles and engineering best practices.
Senior Data Engineer
Design and build scalable data pipelines and warehouses using Python, SQL, and Spark to feed analytics and ML systems for clients.
Data Engineer (Databricks)
Build and maintain scalable data pipelines on Databricks, using Python and cloud platforms (AWS/Azure/GCP) to ingest, transform, and secure large datasets for analytics.
Databricks Data Engineer – Cloud Pipelines & Hybrid Work
Builds and maintains cloud-based data pipelines on Databricks, ensuring scalable, secure data flows for analytics and reporting.
Data Engineer: ETL Pipelines, Databricks & AI Readiness
Builds and optimizes ETL pipelines in Databricks to migrate and prepare data for AI/ML projects using Python.
Senior Data Engineer
Build and maintain ETL/ELT pipelines in Python/SQL, optimize Snowflake queries, and run Airflow workflows to turn raw freight sensor data into analytics and ML features for a logistics intelligence platform.
Senior Data Engineer
Senior Data Engineer builds high-performance data pipelines and lakehouse architecture using ClickHouse, Postgres, and open-source tools to power real-estate analytics and products.
Middle Data Engineer
Designs and maintains scalable data pipelines and warehouses for analytics and ML using Snowflake, dbt, ADF, and Azure; writes efficient SQL and Python to process large datasets.
Senior Data Engineer (DevOps) — Snowflake & Airflow
Designs and maintains data pipelines and architecture using SQL, Python, and ETL tools to ensure high data quality.
Senior AI Data Engineer: Autonomiczne Pipelines & LLMs
Build and maintain autonomous data pipelines and integrate LLMs for telemedicine and insurance products using Python and SQL.
GCP Data Engineer
Designs and builds GCP-based data pipelines, warehouses, and storage systems using BigQuery, Airflow, and Python; troubleshoots performance issues and mentors junior engineers.
Mid Data Engineer – Przemysłowe pipelines, SQL/ETL
Mid-level Data Engineer builds industrial ETL pipelines and maintains SQL Server data warehouses for a pharmaceutical company’s analytics stack.
Hybrid AI Data Engineer — Cloud Pipelines & AI-Ready Data
Builds and maintains scalable data pipelines and AI-ready infrastructure using Python and SQL to process large datasets for analytics and AI integration.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable data pipelines for a global wealth management firm, using Snowflake, dbt, Prefect, and Workato to deliver analytics-ready financial data for executives.
Financial Data Engineer
Builds and maintains automated pipelines to extract, normalize, and validate financial data from SEC EDGAR XBRL filings for modeling and analytics using Python.
Data Engineer Architect.
Lead the design and architecture of AMD’s next-gen data platforms, focusing on scalable AI/ML pipelines, lakehouse systems, and governance for high-performance computing workloads.
Mid-Level Data Engineer: Cloud Pipelines & Analytics
Builds and maintains cloud-based ETL pipelines and data architectures using Python, SQL, and Spark to enable analytics and reporting.