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 | 85 |
| PLN | month | PLN 14,402 | PLN 18,200 | PLN 21,881 | 70 |
| 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 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 with AI
Builds scalable data pipelines and AI integrations for Autodesk’s Technical Advisory team, prototyping MCP servers, LLM workflows, and reusable ETL tools to connect customer data with Autodesk platforms.
Mid Data Platform Engineer
Build and maintain scalable data pipelines and infrastructure for public health and food security projects in Sub-Saharan Africa using Python and modern data stack.
Software Engineer - Lakehouse and AI Data Platform - Warsaw - Analyst / Associate
Build and maintain scalable data pipelines and curated datasets for a modern Lakehouse and AI platform, using Python, SQL, Spark, and Snowflake to support analytics and AI use cases at a global investment bank.
Software Engineer - Lakehouse and AI Data Platform - VP - Warsaw
Build and maintain large-scale data pipelines and curated datasets on a modern Lakehouse and AI data platform, using Python, SQL, Spark and Kafka to support analytics and AI use cases at a global investment bank.
Senior Data Engineer (m/f)
Senior Data Engineer builds and maintains data pipelines, ETL/ELT processes, and real-time monitoring systems using Python, SQL, Databricks, and Spark, while also developing interactive dashboards and full-stack web apps.
Data Engineer (ETL Specialist)
Build and maintain a Databricks-based BI platform, writing PySpark ETL pipelines and orchestrating workflows in Azure Data Factory to feed Power BI dashboards for a global security services company.
Data Engineer (ETL Specialist)
Build and maintain Databricks-based ETL pipelines and lakehouse architecture to power Securitas’ global BI platform, using PySpark, Delta Lake, and Azure Data Factory.
Python & Kubernetes Data Platform Engineer
Builds and maintains a Python-based data analytics and ML platform on Kubernetes for open-source cloud infrastructure at Canonical.
Data Engineer - Hybrid (Warsaw) | Big Data, Spark & CI/CD
Designs and maintains scalable ETL pipelines using Apache Spark and Scala, collaborating with teams to build big-data solutions in a hybrid Warsaw role.
Senior Data Engineer (Databricks Migration)
Senior Data Engineer to migrate and modernize a large retail analytics platform from BigQuery to Databricks, building scalable Lakehouse pipelines with PySpark, Delta Lake, and Unity Catalog.
Data Platform Engineer - Azure, Databricks & CI/CD
Design and operate scalable data infrastructure on Azure and Databricks, deploying robust environments and CI/CD pipelines for reliable data workloads.
Senior Data Platform Engineer - AWS Lakehouse & Terraform
Designs and provisions an AWS Lakehouse data lake foundation using S3, Iceberg, Glue, Athena, and Lake Formation, with Terraform for infrastructure-as-code across environments.
Senior Data Platform Engineer (AWS)
Designs and provisions AWS-based data lakehouse infrastructure using Iceberg, Glue, Athena, and Lake Formation, with Terraform for IaC across CI/CD environments.
Senior Data Warehouse Engineer - Build a Modern Data Platform
Build and maintain a modern enterprise data warehouse using Snowflake, dbt, and Airflow to enable self-service BI and reporting across the organization.
Senior Data Platform Engineer - Backend & Reliability
Build and maintain scalable internal data applications and platform services, focusing on backend, data infrastructure, and reliability using Python or Go.
Expert Data Engineer Microsoft SQL Server, T-SQL, ETL, Git Warszawa, Gdańsk
Build and maintain ETL pipelines and data warehouses using Microsoft SQL Server, T-SQL, SSIS, and Snowflake; optimize queries and automate jobs.