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
ETL Developer – Real-Time Data Pipelines (GoCore)
Designs and optimizes ETL pipelines and real-time data processing for customer master data integration, using GoCore Platform tools.
GCP Data Engineer: BigQuery, Airflow & CI/CD Expert
Designs and builds scalable GCP-based data pipelines using BigQuery and Airflow, with CI/CD for reliability.
Remote Data Engineer, Marketing Systems & DataOps
Builds and maintains data pipelines for marketing systems, integrating BigQuery, ClickHouse, and external tools to support GTM and cross-functional teams.
Azure Data Engineer: Real-Time & Batch Pipelines
Designs and operates real-time and batch data pipelines on Azure to power analytics and reporting for HEINEKEN’s Connected Brewery platform.
Data Engineer
Builds and maintains GCP-based data pipelines (BigQuery, Kafka, Airflow) for fintech analytics, compliance, and AI/ML data prep, ensuring quality, scalability, and governance in a regulated environment.
Azure Data Platform Engineer — Data Lake & Pipelines
Designs and builds scalable Azure data pipelines and lakes using Databricks, Data Factory, Synapse, and Fabric to power analytics and insights.
Senior Data Engineer: Scale Pipelines & ML Platforms
Build and maintain large-scale data pipelines and ML platforms using Spark, Python, and Airflow while ensuring reliability and observability.
Data engineer Poland
Builds and maintains a self-service ETL/ELT orchestration platform for Nordstrom, abstracting big data complexity (Kafka, S3, GCS, BigQuery, Postgres) to enable data scientists/analysts to extract insights efficiently. Focuses on cloud infrastructure (GCP/AWS), Terraform, Airflow, and data governance tools like dbt and Kafka.
GCP Data Engineer: BigQuery & Data Pipelines
Designs and maintains scalable data pipelines on GCP using BigQuery, ensuring performance and reliability while collaborating with analytics, BI, and product teams to deliver data solutions.
Data Engineer: GCP Pipelines & AI-Ready Data
Designs and maintains production data pipelines for analytics, compliance, and AI-ready platforms at a fintech firm, focusing on ingestion, transformation, and data quality in a hybrid model.
Data Steward ID48002
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML,…
Data Steward ID59359
The Data Steward ensures product data accuracy and completeness across systems, resolving gaps, maintaining PIM syndication templates (e.g., inRiver), and collaborating with stakeholders to align data quality with product launches.
Senior Data Platform Engineer
Builds and maintains scalable data pipelines and infrastructure for analytics, leveraging Kubernetes, Spark, Kafka, and cloud-native tools to enable real-time and batch data processing.
Cloud Data Engineer (f/m/x)
Build and maintain cloud data pipelines using Python, SQL, and Azure tools like Databricks and Snowflake to process and transform large datasets.
Snowflake Data Engineer (m/k/n)
Builds and optimizes Snowflake-based data pipelines, integrating Kafka, AWS, and NoSQL to process and transform data for analytics and business intelligence.
Data Engineer z GCP (f/m/x)
Builds and maintains scalable data pipelines on Google Cloud Platform, leveraging BigQuery, Spark, and Python to transform raw data into actionable insights for analytics and AI/ML workflows.
MLOps Engineer / AI Data Engineer
Develops and maintains AI/ML pipelines, automates data workflows, and ensures scalable model deployment using cloud platforms and MLOps tools like MLflow/Kubeflow.