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
Data Engineer – Energy Trading & Analytics
Builds and maintains data pipelines for internal apps and trading analytics in an energy-focused fintech company using SQL, Python, and Airflow.
Finance Data Engineer: Automations & Reconciliations
Builds automated financial reconciliations and reporting by extracting, transforming, and loading data from ERP and finance systems using SQL and BI tools.
Senior Data Engineer (Hadoop, Spark)
Build and maintain scalable data pipelines using PySpark, Hadoop, and Airflow in a DevOps environment, collaborating with analysts and engineers to deliver high-performance solutions.
Data Engineer - Automation & Innovation Department
Build and maintain scalable data pipelines, automate ingestion from Kafka, MQ, SFTP, and databases, and optimize cloud-based processing in GCP using BigQuery, Dataflow, and Airflow.
Data Engineering Tech Lead (ODS)
Lead a team building a cloud-native Operational Data Store (ODS) platform using Kafka, AWS Glue, ECS, and containerized microservices (Spring Boot/Python) to deliver trusted, scalable data pipelines for Aviva’s enterprise data foundations.
Senior Data Engineer (Azure & Databricks)
Build and maintain scalable Azure-based data pipelines and Databricks-powered analytics platforms for a Swedish energy utility, enabling data-driven decisions and AI solutions.
Senior Data Engineer: Azure Databricks & CI/CD Pipelines
Design and build scalable data pipelines on Azure and Databricks, using Python, PySpark, and SQL, while implementing CI/CD in Azure DevOps.
Cloud Data Engineer - ETL & Data Lake Expert
Designs, builds, and scales cloud data pipelines and data lake platforms using ETL/ELT workflows, collaborating with analytics and data science teams.
Data Engineer | FCU Technology Team
Build and maintain scalable data pipelines and lakehouse platforms using Databricks, Spark, Delta Lake and Azure to support anti-financial-crime analytics and reporting for PwC’s global clients.
Databricks Data Engineer (ICH Europe)
Build and maintain scalable data pipelines and Lakehouse models on Databricks, using PySpark, Delta Lake, and Medallion architecture to deliver analytics-ready datasets for enterprise clients.
GIS Data Engineer: Migrations & Mapping
Data Engineer migrates and maps GIS data into a proprietary model using Python and ESRI tools.
Expert Data Engineer (Snowflake, DBT)
Build and maintain a modern data platform for a Nordic bank using Snowflake and DBT, delivering trusted data for AI-driven customer-facing solutions.
Senior Data Engineer (m/f)
Senior Data Engineer builds and maintains data pipelines, ETL/ELT processes, and real-time monitoring systems using Python, SQL, Databricks, and Spark, while also developing full-stack web apps with React/Angular and DevOps tooling.
Senior Data Engineer @ SD Solutions
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines, data models, and automated compliance systems for a fintech POS-financing platform using Snowflake, Airflow, dbt, and AWS.
Data Engineer: Spark, Scala & Data Lakes (Hybrid)
Designs and maintains scalable data pipelines using Apache Spark and Scala for a global consulting firm, focusing on ETL workflows and big-data infrastructure.
Lead Data Engineer (GCP / PySpark)
Lead a data engineering team to migrate and modernize a media company’s data platform on GCP using PySpark, while removing technical bottlenecks and guiding architectural decisions.
Data Engineer Technical Leader (Relocation to Poland)
Lead a team to design and build scalable data pipelines and platforms using Spark/Scala, Airflow, and cloud tools, while mentoring engineers and ensuring regulatory compliance.
Lead Azure Data Engineer with Databricks
Lead a team to design and build scalable Azure data pipelines and warehouses using Databricks, PySpark, and SQL to process large datasets for enterprise clients.