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
Cloud Data Engineer — Data Platform & Analytics (Hybrid)
The Cloud Data Engineer will design, develop, and operate cloud-based data frameworks and analytics platforms. The role focuses on enabling data product teams through DataOps practices, governance, and monitoring.
Data Engineer (with Snowflake/Databricks)
The Data Engineer will build and optimize scalable data processing pipelines to support the digital transformation of financial sector clients. The role involves collaborating with cross-functional teams to design data architectures while ensuring security, compliance, and performance.
Lead Data Engineer — Data Platform & Team Mentor
The Lead Data Engineer will design and develop modern data solutions while leading a team and mentoring engineers. The role focuses on maintaining code quality and architecture within Google Cloud data platforms.
Senior Data Engineer - Hybrid (Warsaw) - Scale ETL Pipelines
The Senior Data Engineer will build and maintain scalable data pipelines, develop production-grade Python tools, and manage data platform orchestration in a hybrid role based in Warsaw.
Cloud Data Engineer — Azure Data Lake & Spark
The Cloud Data Engineer will design and build scalable data platforms and develop ETL/ELT pipelines using Azure Databricks. The role involves data modeling, pipeline optimization, and collaboration with data science teams.
Senior Data Engineer: Cloud, GenAI & Scalable Pipelines
The Senior Data Engineer will lead the development of cloud-based data platforms and large-scale pipelines using Java, Python, Kubernetes, Spark, Snowflake, and Databricks. The role also involves contributing to GenAI and ML applications utilizing LangChain and LangGraph.
Data Engineering Tech Lead
Leads a data engineering team to design, build, and optimize a distributed data platform for AI-driven mobile content, balancing hands-on coding with technical direction and team growth.
Senior Data Engineer (Scala)
Senior Data Engineer building highly scalable, fault-tolerant data ingestion systems processing 5B clickstream events daily using Scala, Spark, Kafka, Beam, BigQuery, PubSub, and Dataflow on a hybrid on-premise/GCP stack.
Junior Data Engineer Tableau
Recreate legacy reports and develop Tableau dashboards on a Snowflake data layer, build and maintain dbt models in GitLab, and support UAT and data quality testing for client projects.
Cloud Data Engineer
The Cloud Data Engineer designs, develops, and operates cloud frameworks for an international data and analytics platform using Microsoft Azure and Big Data technologies. The role involves building ETL pipelines, supporting data product teams, and implementing DataOps and DevOps methodologies.
Lead Data Engineer
Lead Data Engineer designs and develops modern data solutions, mentors teams, and ensures scalable, reliable data architectures for climatetech innovations at Viessmann.
Azure Data Engineer: PySpark & Databricks Pipelines
Build and maintain data pipelines using Azure Databricks and PySpark for business analytics in a hybrid Agile team.
Azure Cloud Data Engineer: Data Lake & Pipelines
Data Engineer designing and building scalable Azure data platforms and ETL/ELT pipelines, collaborating with analytics, BI, and Data Science teams.
Senior Java Engineer - AI-Driven Data Platform
Senior Java Engineer building an AI-driven data platform processing billions of transactions in a 7-person team, using Java, cloud, and Kubernetes with hybrid work in Warsaw.
Senior Backend Engineer, Customer Data Platform
Builds and maintains high-performance event pipelines, Elasticsearch search layers, and Kafka integrations to handle customer data at scale, ensuring reliability under load spikes and cross-team coordination.
Principal Go Engineer — Distributed Data Platform (Remote)
Principal Go engineer leading architecture, performance, and reliability of a distributed data and analytics platform on Kubernetes, cloud, and on-prem infrastructure, while mentoring and guiding multi-team initiatives.
Senior Data Platform Engineer - Microsoft Fabric Lead
Leads Microsoft Fabric-based enterprise data platform, designing architecture, security, and pipelines while ensuring cost efficiency and data governance across lakehouse layers.
SENIOR DATA PLATFORM ENGINEER
Owns and operates an enterprise data platform on Microsoft Fabric, designing lakehouse architectures, building ingestion pipelines from ERP/CRM systems, and maintaining Power BI semantic models while working directly with business stakeholders.