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 86
- 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
Data Engineer leading the design and delivery of modern data platforms and analytics solutions using Microsoft Fabric, Databricks, and the Azure ecosystem, with a focus on lakehouse architectures and medallion design patterns.
Data Engineer
Data Engineer designing and maintaining ETL/ELT data flows, modeling data with dbt and SQL on Google Cloud Platform/BigQuery, and building visualizations with Lightdash/Looker to support Growth, Marketing, Product, and Finance teams.
Data Engineer: Build Scalable Cloud Data Pipelines
The Data Engineer will design and optimize scalable cloud data pipelines and manage migrations to Google BigQuery. The role involves collaborating with cross-functional teams to deliver production-ready data products for BI and reporting.
GCP Data Engineer: BigQuery & Data Pipelines
The Data Engineer will design and implement batch and streaming data pipelines within Google Cloud Platform. The role involves integrating systems and collaborating with data analysts and architects using tools like BigQuery, Dataflow, and Airflow.
Data Engineer - Financial Services Data Pipelines Lakehouse
The Data Engineer will design, build, and maintain end-to-end data pipelines for the financial services sector using Python, SQL, PySpark, and Azure Databricks. The role involves data integration and quality assurance within a cloud-based environment.
Senior Data Engineer - BigQuery & Data Pipelines Specialist
Data engineer designing, building, and maintaining scalable BigQuery data pipelines for migration projects, focusing on data quality, orchestration, and delivering production-grade data products for reporting and analytics.
Senior Data Engineer - AML Data Pipelines (Remote)
Builds and migrates AML data pipelines to centralize financial transaction data, optimize ETL processes, and enable compliance-driven analytics for EU clients.
Data Engineer: Microsoft Fabric & Azure Data Pipelines
Build and maintain data pipelines using Microsoft Fabric and Azure tools for an insurance-sector client.
Remote Data Engineer (DevOps) — Azure & Data Pipelines
This Data Engineer role involves building and implementing data processing solutions on existing infrastructure, with a focus on Azure and Terraform. The position is 100% remote and balances 70% data-focused tasks with 30% DevOps infrastructure work.
Data Engineer (DevOps)
Builds and maintains data pipelines, ETL/ELT processes, and cloud infrastructure in Azure using Python, Bash, and Terraform for a data-focused product team.
Hybrid Data Engineer: Scala/Java & Spark in Banking Backend
Builds and optimizes Scala/Java-based data pipelines for an investment bank using Spark, focusing on scalable ETL/ELT processes in a hybrid work setup.
Senior Data Engineer
Builds and optimizes data pipelines for warehouse and supply chain analytics using Databricks, PySpark, SQL, and streaming/batch technologies in a global team.
Data Engineer
Builds and scales an IoT data platform for the insurance sector, transforming sensor/device data into business insights using cloud-native architectures and AI/ML pipelines.
Senior Data Engineer (Cloud)
The Senior Data Engineer will migrate legacy MS SQL Server data products to a modern GCP cloud platform and build scalable ETL pipelines. The role involves redesigning analytical models, ensuring data quality, and developing AI-assisted automation for data engineering workflows.
Lead Data Engineer
Lead a team to design and implement enterprise-scale data pipelines and integrations for AI and automation projects, assessing feasibility and recommending cloud platforms like Azure or AWS.
Senior Data Engineer
Senior Data Engineer designs and builds ETL/ELT pipelines, data lakes, and reporting tools using Python, SQL, Spark, and AWS services for a vehicle lifecycle solutions provider.
Senior Data Engineer (ADB, Python)
Senior Data Engineer builds and optimizes PySpark applications on Databricks for a Big Four firm, using Python, Azure Cloud, and microservices to process and transform enterprise data at scale.
Lead Data Engineer
Lead a team to design and implement scalable data pipelines and integrations for enterprise clients, focusing on ETL/ELT, cloud platforms, and AI/ML readiness.
Senior Data Engineer
Senior Data Engineer builds and optimizes ETL/ELT pipelines, data lakes, and reporting tools using Python, SQL, Spark, and AWS services for a vehicle lifecycle solutions provider.