Data Engineering Jobs in Poland
There are 2,581 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 578 · 22%
- Remote 408 · 16%
- Onsite 18 · 1%
Visa sponsorship offered in 48% of the 159 postings that state a position on it.
Seniority
- Senior 964
- Lead 174
- Middle 87
- Junior 67
- Staff 27
- Principal 22
Who is hiring
- 1000+ employees 411
- 501-1000 employees 213
- 51-200 employees 94
- 11-50 employees 23
- 201-500 employees 11
Data Engineer: Build Robust Pipelines & Insights (Hybrid)
Data Engineer designing and implementing data pipelines using Data Factory, PySpark, and Microsoft Fabric, collaborating with business teams and the Risk Unit in a hybrid role in Warsaw.
Data Engineer — Microsoft Fabric Pipelines & Medallion Architecture
Data Engineer maintaining and evolving a Microsoft Fabric platform, building bronze/silver/gold medallion-architecture pipelines and data models using PySpark and Spark SQL.
Remote Data Engineer (AWS) — ELT Pipelines & Redshift
Data Engineer building and maintaining ELT pipelines and data warehouses using AWS (S3, Redshift), dbt, Airflow, and SQL.
data engineer AI
This role involves leading end-to-end data engineering initiatives to support AI use cases, including building ELT pipelines and maintaining dbt models. The position requires extensive experience with Snowflake, Azure, and Python to deliver scalable analytics datasets.
Hybrid AI Data Engineer for Banking Pipelines
Build and maintain scalable data pipelines for corporate lending using Python, PySpark, and SQL to transform data into analytics and insights.
Senior Data Engineer
The Senior Data Engineer will design and develop scalable backend systems, microservices, and data pipelines to support business processes. The role involves building reliable integrations and optimizing data workflows using technologies like C#, Java, Go, or Python.
Senior Data Engineer
Senior Data Engineer at The Codest, developing and automating tools for a major European e-commerce platform's Data Platform. Tech stack: Python (primary), JVM languages, GCP (BigQuery, Composer, Dataproc, Cloud Run), SQL, PySpark, Docker.
GCP Data Engineer: BigQuery & Dataform Pipelines
The Data Engineer will work on migrating and modernizing data and analytics processes using Google BigQuery, Dataform, and Python. The role involves collaborating with teams to improve data pipelines and implement best practices.
Data Engineer - Spark, Python & Pipelines (Hybrid)
The Data Engineer will design and implement batch and streaming data pipelines using Spark and Python. The role involves building ETL/ELT processes and collaborating with data teams to ensure data quality and performance.
Data Engineer z Microsoft Fabric – Azure Data Pipeline Expert
Data Engineer working on production data pipelines using Python, PySpark, and SQL within Microsoft Fabric, Azure Synapse, or Databricks environments, handling cloud data in Delta/Parquet formats.
Remote Data Engineer — Data Platform & Pipelines
Reppls is looking for a Data Engineer to manage and scale data pipelines and platform infrastructure for quantitative investing workflows. The role involves collaborating with data scientists and engineers using Python, Snowflake, Airflow, dbt, and AWS.
Senior Data Engineer — Remote Data Platform & Pipelines
The Senior Data Engineer will design and maintain a core data platform for an asset management firm, focusing on building data pipelines, dbt models, and a FastAPI backend.
Data Engineer - Cloud ETL for Financial Data Pipelines
Data Engineer building and maintaining scalable ETL/ELT data pipelines for a financial sector client, integrating ERP, HR, and finance systems using Databricks, Snowflake, and Azure Data Platform.
Databricks Data Engineer | Azure Data Factory & Pipelines
Data Engineer responsible for planning, developing, and maintaining cloud data environments for clients, focusing on Azure Data Factory and Databricks pipelines.
Data Engineer
Designs and implements data platforms—data lakes, warehouses, and ETL/ELT pipelines using Python and Spark—for industrial and manufacturing clients, handling the full cycle from requirements gathering through architecture to production deployment.
Java Data Engineer — Cloud Pipelines & Microservices
Data Engineer designing and operating scalable real-time and batch data pipelines and microservices for a cloud-based risk platform, using Java, REST APIs, and DevOps practices.
Data Engineer
Builds and maintains data pipelines and warehouses on Azure, using Spark, SQL, and ETL tools to enable analytics and reporting.
Data Engineer
Builds and maintains data pipelines, optimizes SQL queries, and ensures data accuracy in Teradata environments for analytics and reporting.
Data Engineer - GCP & BigQuery, Pipelines & Airflow
Designs and maintains scalable data pipelines on GCP/BigQuery, collaborating with teams to transform raw data into actionable insights. Core tools: Airflow, Terraform, and CI/CD pipelines.
Senior Data Engineer - Snowflake & AI Pipelines
Senior Data Engineer in Warsaw designing and building end-to-end ELT pipelines from Azure Blob Storage into Snowflake, developing dbt models and Python scripts with a focus on data quality and scalable analytics.