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
Data engineer (tech lead)- Scoutz
Data & Integration Tech Lead responsible for end-to-end oversight of data flows, API integrations, and data governance across a credit/banking platform, ensuring compliance, traceability, and robust monitoring of data pipelines.
Senior Data Engineer - Hybrid, Databricks & Data Platform
Senior Data Engineer maintaining data platforms in a hybrid role in Wrocław, focused on data migration, architecture, and optimizing data processing using Databricks, Python, SQL, and analytics tools.
Senior Data Engineer - Spark & Python (Remote)
Senior Data Engineer designing and optimizing Spark-based data pipelines with Python and PySpark, using Databricks and Delta Tables to build scalable analytics platforms for enterprise clients.
Data Engineer – Big Data / Data Platform
The Data Engineer will design, build, and maintain scalable batch and streaming data pipelines using Spark, Apache Beam, and Airflow. The role involves collaborating with engineering teams to manage data transformations and quality using SQL and dbt.
Data Engineer
The Data Engineer will design and implement real-time and batch data processing platforms, focusing on event-driven architectures and data pipelines. The role involves collaborating with DevOps teams to build scalable solutions for clients in the energy, utilities, and manufacturing sectors using technologies like Python, SQL, Kafka, and Spark.
Data Engineer
The Data Engineer will design, develop, and optimize scalable data pipelines and ETL/ELT workflows using PySpark, Python, and Azure Data Factory. This role requires 6-10 years of experience and involves working in a hybrid environment in Kraków.
Data Engineer
The Data Engineer will join the Core Data Platform team to design and maintain scalable data pipelines and integration mechanisms using Python, SQL, and Apache Spark. This role focuses on building shared platform components and ensuring high data quality and reliability within a global fintech environment.
Data Engineer: Scalable Pipelines, Spark & Airflow
Ubique Systems is hiring a Data Engineer to build and maintain scalable batch and streaming data pipelines using Spark or Apache Beam and Apache Airflow. The role involves collaborating with cross-functional teams to implement data transformations using SQL and dbt.
Azure Cloud DevOps Engineer - Data Platform & SRE
Designs and maintains an Azure-based M&O platform with observability, data quality, and SRE-driven reliability; automates deployments via IaC/CI/CD and scales data services with Docker/Kubernetes.
Senior Data Architect / Data Engineer
Designs and builds scalable data platforms and real-time analytics solutions using technologies like Apache Druid, Kafka, and Flink to process billions of events for enterprise clients.
Azure Data Platform Engineer
Design and migrate enterprise data platforms to Azure, Databricks, and Microsoft Fabric using IaC, Kubernetes, and CI/CD while ensuring security, governance, and cost efficiency.
Lead Data Platform Engineer
Lead the design and build of internal data-platform tools, Airflow-based pipelines, and AI-driven developer workflows using Python, GCP, and modern DevOps practices.
Senior Data Engineer
Build and maintain scalable data pipelines processing billions of daily events using Spark, cloud platforms, and orchestration tools to support analytics and ML workloads.
Data Engineer with Airflow
This role involves providing technical consulting and hands-on support for customers using Apache Airflow to build and manage their data platforms. You will help clients design DAGs, troubleshoot production issues, and integrate Airflow into their existing cloud data ecosystems.
Mid/Senior Data Engineer (GCP)
Build and maintain scalable data pipelines on GCP, migrating workloads to BigQuery and ensuring high-quality, production-grade data products for analytics and BI.