Data Engineering Jobs in Poland
There are 2,574 open Data Engineering jobs in Poland on freehire right now. 562 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 14,402 | PLN 18,200 | PLN 21,881 | 70 |
| 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 574 · 22%
- Remote 408 · 16%
- Onsite 18 · 1%
Visa sponsorship offered in 48% of the 159 postings that state a position on it.
Seniority
- Senior 966
- 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 (K/M)
Builds and maintains dentsu’s Google Cloud-based data platform, writing Python pipelines in Airflow, integrating marketing and semi-structured data, and modeling in BigQuery for analytics and reporting.
Senior Data Engineer - Databricks, Azure & AI Pipelines
Designs and builds scalable data pipelines on Databricks and Azure, using Delta Tables and medallion architecture to integrate and process data from multiple sources.
Senior Data Engineer (Scala)
Build and scale a high-throughput data pipeline for Allegro’s 5B daily clickstream events using Scala, Spark, Kafka, and GCP services like Dataflow and BigQuery.
Senior Data Engineer: Spark, Lakehouse & AI Pipelines
Builds and optimizes scalable ETL pipelines using Spark, Delta Lake, and Azure Databricks to feed AI/ML models and analytics for a global gambling platform.
Data Engineer (Snowflake,Cloud)
Build and maintain Snowflake data pipelines, optimize schemas, and migrate on-prem warehouses to Snowflake while collaborating with cross-functional teams.
Snowflake Data Engineer: Build Scalable Cloud Pipelines
Designs and builds scalable Snowflake-based data pipelines and models for a cloud-first data platform in Warsaw.
Snowflake Data Engineer | Hybrid & AI-Driven Pipelines
Designs and maintains Snowflake-based data pipelines in a hybrid Poland role, ensuring scalable, secure data solutions for analytics and business needs.
Google Cloud Data Engineer
Design and build scalable data pipelines and warehouses on Google Cloud Platform using BigQuery, SQL, and Python to enable data-driven decisions for global clients.
Senior Databricks Data Engineer
Senior Data Engineer builds and optimizes Databricks lakehouse pipelines in PySpark/Delta Lake, manages Unity Catalog access, and tunes Spark for real-time and batch workloads.
Senior BI Data Engineer
Build and optimize AWS-based data pipelines and Redshift models to power BI and analytics for a large European telecom client.
Data Engineer (ETL/ELT)
Build and maintain scalable Azure-based ETL/ELT pipelines to integrate enterprise systems and transform raw data into analytics-ready insights for reporting.
Data Engineer (Azure Cloud)
Build and modernize Big Data pipelines for a European scoring agency using Azure Data Factory, Python/Java, and streaming tech like Kafka.
Data Engineer / Ingestion Specialist
Data Engineer / Ingestion Specialist builds and maintains pipelines to move data from source systems into a central platform, using Azure DevOps and ETL/API tools while coordinating with cross-functional teams.
Senior Data Engineer (Kafka)
Build and own the data platform for a mobile RPG studio, designing Kafka-based pipelines and warehouses that power gameplay analytics and LiveOps decisions.
Senior Azure Data Engineer
Design and build Azure-based data pipelines, warehouses, and analytics using Databricks, Data Factory, and Power BI to process large datasets and enable ML workloads.
Data Engineer (SQL, ETL)
Builds and maintains ETL pipelines and data warehouses using SQL Server, T-SQL, Kafka, and APIs to integrate distributed systems and ensure reliable data sharing.
Senior Staff, Data Engineer
Designs and maintains high-scale data pipelines processing billions of ad events daily, modernizes legacy ad-tech systems into cloud-native lakehouse architectures, and ensures reliable, low-latency data delivery for monetization and analytics.