Data Engineering Jobs in Poland
There are 2,577 open Data Engineering jobs in Poland on freehire right now. 563 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 38%
- azure 35%
- ai 34%
How the work is done
- Hybrid 576 · 22%
- Remote 408 · 16%
- Onsite 18 · 1%
Visa sponsorship offered in 48% of the 159 postings that state a position on it.
Seniority
- Senior 963
- Lead 173
- Middle 86
- Junior 67
- Staff 27
- Principal 22
Who is hiring
- 1000+ employees 410
- 501-1000 employees 213
- 51-200 employees 93
- 11-50 employees 23
- 201-500 employees 11
Remote Senior Databricks Data Engineer - Cloud Architect
Senior Databricks Data Engineer designing and implementing cloud data processing solutions and building Python data pipelines across AWS, Azure, or GCP for large-scale datasets.
Senior Data Engineer – Healthcare Data Platform
Designs and builds scalable data pipelines and cloud infrastructure for a healthcare data platform, collaborating with product teams to optimize datasets and enable self-service analytics using Azure, Snowflake, and Databricks.
Senior Data Engineer (Healthcare domain)
Senior Data Engineer building and maintaining large-scale cloud data infrastructure, ETL pipelines, and data lake architectures in the healthcare domain using Python, PySpark, Azure, Snowflake, Databricks, and Terraform.
Senior Data Engineer
Senior Data Engineer designing and building scalable, cloud-native data platforms with event-driven ingestion pipelines, primarily using Spark/PySpark, Databricks/Snowflake, and a major cloud provider (Azure preferred).
Copy of Petroleum Data Engineer - Subsurface and Drilling Domain - Tieto Tech Consulting (m/f/d)
Build and maintain data pipelines and products for subsurface and drilling data (seismic, well data) using Python, SQL, Snowflake, and Azure, while enabling AI/ML workflows on seismic and well metadata.
Petroleum Data Engineer - Subsurface and Drilling Domain - Tieto Tech Consulting (m/f/d)
Builds and maintains data pipelines and products for subsurface/drilling data (wells, seismic, logs) using Python/SQL, integrating with tools like Petrel and Snowflake to enable AI/ML workflows and QC dashboards.
Senior Data Engineer (Snowflake)
The Senior Data Engineer will build and maintain production-grade ELT/ETL pipelines using Snowflake, dbt, and Python. The role involves optimizing data infrastructure, ensuring data quality, and leveraging AI-assisted development tools to deliver reliable data products.
Data Engineer
Designs, builds, and deploys high-performance data pipelines and cloud data platforms on GCP for enterprise clients.
Data Engineer
Data Engineer designs and implements high-performance data pipelines (streaming/batch) on Google Cloud, builds scalable data lakes/warehouses, and supports clients in cloud data solutions, including migration, transformation, and visualization.
Cloud Data Engineer
Designs and maintains end-to-end cloud data pipelines (ingestion, transformation, orchestration) in a fintech company, using AWS, dbt, Airflow, and IaC to build an AI-ready data platform for global money transfers.
Lead Data Engineer (AWS+Snowflake)
The Lead Data Engineer will design and maintain robust data structures and secure data pipelines using AWS and Snowflake for a major U.S. consumer insights provider. The role involves leading a team, ensuring data governance and security, and leveraging Python and SQL to manage large-scale data environments.
Data Engineer – Snowflake / Snowpark / DBT (k/m)
Mid-level Data Engineer in Gdańsk working with Snowflake Data Cloud, Snowpark, dbt, Jenkins, and SQL.
Data Engineer
Build and maintain data pipelines and infrastructure using SQL, Python, Terraform, and AWS Glue.
Senior Data Engineer: Microsoft Fabric & Azure Data Platform
Designs and implements cloud-based data solutions on Azure, optimizing queries and ensuring security and identity management.
Senior Data Engineer: Spark & Python on Azure Cloud
Senior/Lead Data Engineer designing and implementing data pipelines with PySpark on Databricks and Spark SQL, optimizing performance and managing Delta tables for AI-driven solutions on Azure Cloud.
Data Engineer with Microsoft Fabric (f/m/x)
Builds and maintains scalable data pipelines and platforms using Microsoft Fabric and Azure tools to process, transform, and store data for enterprise clients.
Senior Data Engineer - Microsoft Fabric & Azure
Senior Data Engineer designs and maintains data pipelines using Microsoft Fabric and Azure, focusing on PySpark, SQL, and data-source integrations with high security and auditability standards.