Data Engineering Jobs in Poland
There are 2,580 open Data Engineering jobs in Poland on freehire right now. 567 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 50%
- data-engineering 40%
- data-pipelines 39%
- etl 37%
- azure 35%
- ai 34%
How the work is done
- Hybrid 575 · 22%
- Remote 411 · 16%
- Onsite 18 · 1%
Visa sponsorship offered in 48% of the 159 postings that state a position on it.
Seniority
- Senior 971
- 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
Big Data Engineer (Spark or Flink + Scala/Kotlin/Java) @ Comscore via CC
Build and optimize petabyte-scale data pipelines using Spark/Flink and JVM languages, then serve insights via HTTP APIs for media analytics at Comscore.
Senior Big Data Engineer - Spark/Scala/Java on Databricks
Senior Big Data Engineer builds and maintains Databricks pipelines in Scala/Java, integrating Azure cloud services to support valuation and risk systems.
Data Engineer: AWS, Spark, Python, SQL, CI/CD
Designs and maintains scalable data pipelines on AWS using Spark, Python, and SQL, ensuring high-quality data for business insights.
Senior Big Data Engineer: Spark/Scala/Java on Azure
Builds scalable big-data pipelines on Azure Databricks and Spark, using Java/Scala and Kubernetes to support risk-management services.
Senior Big Data Engineer (Scala/Java) on AWS & Spark
Builds and scales big-data pipelines in Scala/Java on AWS Spark to analyze millions of events for financial-market security.
Senior Data Engineer: AWS, Snowflake, dbt & AI Initiatives
Designs and maintains scalable data pipelines on AWS and Snowflake, implements data quality controls, and improves data platform workflows using dbt and orchestration tools.
Hybrid Banking Data Engineer — ETL, Oracle & Power BI
Builds and maintains ETL pipelines and reporting solutions using Oracle, SQL Server, and Power BI for a banking-focused client.
MLOps Data Platform Engineer | Production ML & Pipelines
Builds and maintains production ML pipelines and ETL workflows in Python to deploy and monitor machine-learning models for a bank.
Azure Data Factory Data Engineer | Hybrid Work & Impact
Designs and builds scalable Azure data pipelines and platforms to enable data-driven decisions, using Azure Data Factory and DevOps practices.
Junior Data Engineer Internship - Hybrid, AI & Cloud Skills
Build and maintain data pipelines and cloud-based analytics solutions for global clients while learning AI/GenAI tools and data engineering under mentorship.
Azure Big Data Engineer - Spark/Scala/Java | Hybrid
Build and maintain a cloud-based big data platform using Spark, Azure Databricks, Java, and Scala, with Kubernetes, Terraform, and GitLab CI/CD.
Senior Data Engineer: Databricks on Azure + AI-Driven Dev
Design and build a modern data platform on Databricks and Azure, implementing scalable ETL/ELT pipelines and integrating data from multiple sources.
Staff AI Data Engineer — Real-Time Commerce Intelligence
Designs real-time data pipelines and AI models that turn raw commerce events into structured intelligence for autonomous checkout optimization and agentic commerce decisions.
Big Data Engineer - Spark/Scala/Java on Azure Platform
Builds scalable Big Data pipelines and cloud infrastructure on Azure using Spark/Scala/Java, Kubernetes, and CI/CD for a data platform suite.
Senior Data Engineer: Databricks on Azure & AI‑Driven ETL
Builds and maintains scalable data pipelines on Databricks and Azure, using PySpark and Delta Tables to move and transform data for analytics and AI workflows.
Senior Big Data Engineer — Spark, Java/Scala, Hybrid
Senior Big Data Engineer builds Spark pipelines and data processing components in Java/Scala for client projects, working in a hybrid setup with CI/CD and TDD practices.
Staff Data Engineer — AI Analytics Platform (Hybrid Kraków)
Build and own the analytics platform for an AI-powered SaaS product, designing Snowflake data flows, modeling data for reliability, and delivering insights via Power BI while mentoring engineers.
Data Engineer with AI focus for AFI Analytics - Gdańsk
Build and maintain cloud-based data pipelines and AI/ML infrastructure in Microsoft Azure to enable advanced analytics and data-driven decision-making across Arla Foods Ingredients Analytics.