Data Engineering Jobs in Poland
There are 2,578 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 | 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 964
- Lead 173
- Middle 86
- Junior 67
- Staff 27
- Principal 22
Who is hiring
- 1000+ employees 413
- 501-1000 employees 213
- 51-200 employees 93
- 11-50 employees 23
- 201-500 employees 11
Data Engineer (Snowflake+dbt)
Builds and optimizes Snowflake data pipelines with dbt, refactors data workflows, and ensures high-performance SQL models for analytics in the pharmaceutical sector.
BI Data Engineer (part time)
This part-time BI Data Engineer role involves building and maintaining cloud data pipelines and ETL processes using the Azure stack, Python, and SQL. The position requires 3 days of work per week, aligned with UK business hours.
Principal Go Engineer: Scalable Distributed Data Platform
Principal Go Engineer building and architecting a distributed data and analytics platform on Kubernetes, focusing on scalable data pipelines, event-driven patterns with Kafka, and system reliability.
Python Data Engineer - Spark/Delta Lake, Azure, Onsite
RevTech is hiring a Python Data Engineer to work on a global financial services project in Poland. The role involves building streaming and batch data pipelines using Python, Spark, Databricks, and Azure in an onsite capacity.
Senior Azure Databricks Data Engineer, Cloud Lakehouse Lead
The Senior Data Engineer will design and optimize enterprise data platforms using Azure Databricks, PySpark, Python, and SQL. The role focuses on building scalable data pipelines and cloud-based ecosystems while implementing CI/CD practices via Azure DevOps.
Inżynier Danych – Specjalista Data Engineering (Hybrid)
The Data Engineer will design data architecture, manage ETL processes, and integrate data from various sources within the banking environment using Databricks, Snowflake, SQL, and Python.
Senior Data Engineer - GCP, BigQuery & Airflow (Remote)
The Senior Data Engineer will design and develop scalable data pipelines within the Google Cloud Platform environment. The role requires expertise in Python, SQL, BigQuery, and orchestration tools like Apache Airflow to support cross-functional business projects.
Data Engineer (Snowflake,Cloud)
The Data Engineer will design, develop, and maintain Snowflake data pipelines and AI/ML solutions while collaborating with cross-functional teams. The role involves optimizing data models, ensuring data integrity, and managing migrations from on-premise systems to the cloud.
Python Data Engineer
The Python Data Engineer will design and build data pipelines for a financial services project using Python, Spark, Databricks, and Azure. This is a contract role requiring onsite presence in Poland.
Remote Data Engineer – ETL Pipelines, Azure & GitOps
Designs and maintains ETL pipelines, manages PostgreSQL/MS SQL databases, and develops Azure infrastructure using Terraform with GitOps workflows.
Data Engineer - GCP Pipelines, Quality & AI Readiness
Designs and operates GCP-based data pipelines for analytics, compliance, and AI readiness in a regulated fintech environment.
Data Engineer
Builds and maintains data pipelines on GCP (BigQuery, Kafka, Airflow) to power IG Group’s analytics, compliance, and AI initiatives, focusing on Medallion architecture, data quality, and real-time event processing in a regulated fintech environment.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable data pipelines for a healthcare-focused retail IT system, ensuring data quality and integration across Syndigo, legacy, and downstream systems.
Snowflake Data Engineer: Cloud Data Pipelines & AI
Design, develop, and maintain Snowflake data pipelines, optimize data models for performance, ensure data integrity and governance, and plan on-prem warehouse migration to Snowflake.
Lead Data Engineer
Lead Data Engineer designs and maintains scalable enterprise data platforms, ETL/ELT pipelines, and data warehouses using Databricks, SQL, and Python to enable analytics, automation, and AI-driven insights for global operations.
Data Engineer (Scala) - Data Assets
Builds scalable, fault-tolerant data pipelines processing 5B+ daily clickstream events for Allegro’s ecommerce platform using GCP (DataProc, Beam, BigQuery) and hybrid architectures.
Data Engineer
Designs and maintains Snowpark/DBT workflows and data pipelines in a banking-focused data warehouse, optimizing SQL queries, automating testing, and collaborating with stakeholders to ensure data quality and reliability.
GCP Data Engineer: BigQuery, Airflow, CI/CD
Build and maintain scalable GCP data pipelines using BigQuery and Airflow, ensuring performance and reliability while collaborating with analytics and product teams.
Snowflake Data Platform Engineer (Hybrid in Warsaw)
Design scalable data models and schemas using Snowflake as the enterprise data warehouse, optimize SQL, and enable advanced analytics. Collaborate with teams to ensure secure data access in a hybrid Warsaw role.
GCP Data Platform Engineer | BigQuery & ETL
Design and implement a GCP data platform focused on BigQuery, ETL/ELT pipelines, and Cloud Composer workflows, with REST API development and cross-functional collaboration.