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
Builds and maintains ETL pipelines, designs SQL-based data models, and creates dashboards with Power BI or Tableau.
Remote Data Engineer — Telematics Pipelines & API
Build and own telematics data pipelines that ingest, normalize, and store vehicle time-series data, then ship features like stop detection and ETAs.
Azure Databricks Data Engineer — Lakehouse & Pipelines
Designs and builds Azure Databricks-based data pipelines and Lakehouse architectures using PySpark and SQL to transform and integrate data for scalable cloud analytics.
Data Engineer
Designs and builds data pipelines and AI-driven systems using Azure, ServiceNow, and Power Platform to automate processes and scale operations.
Data Engineer
Builds and maintains data pipelines and warehouses using SQL, Python, and Snowflake/dbt to support analytics and reporting for a product-focused team.
Snowflake Data Engineer - Cloud ETL & Big Data Pipelines
Builds and migrates cloud-based ETL pipelines using Snowflake, designing scalable data flows and collaborating with leadership on data strategy.
Cloud Data Engineer (GCP) – French Pro, Data Pipelines
Builds and maintains GCP-based data pipelines using BigQuery, Cloud Composer/Airflow, and Cloud Storage for cross-functional teams and international clients.
Cloud Data Engineer — Hybrid (Data Platforms & Pipelines)
Designs and builds scalable cloud data pipelines and models to power analytics and decision-making in a hybrid role based in Kraków.
Senior Data Engineer - AWS Data Pipelines & Data Lake
Designs and builds scalable AWS data pipelines, data lakes on S3 with Apache Iceberg, and Airflow workflows for CDC and batch ingestion from DynamoDB, Aurora PostgreSQL, and Neptune.
Senior Data Engineer: Snowflake ETL & Data Pipelines
Designs and builds Snowflake-based ETL pipelines and data flows using SQL, Python, and orchestration tools like Airflow or dbt for analytics and reporting.
Senior Data Engineer – Energy Data Pipelines & Databricks
Design and implement scalable data pipelines and analytics solutions using Databricks, Python, and AWS to build data lakes and end-to-end data workflows for energy data.
Data Engineer: Pipelines, ETL & Cloud (Python)
Builds and maintains data pipelines and ETL workflows in Python, running on Google Cloud, to process large datasets efficiently.
Senior Data Platform Reliability Engineer (SRE)
Build and maintain automated guardrails for enterprise data platforms (Snowflake, Databricks, Cloudera) to ensure security, cost-efficiency, and scalability while enabling fast-moving engineering teams.
Lead Data Engineer (GCP / PySpark)
Lead a remote data engineering team, migrating on-prem data platforms to GCP and building PySpark pipelines while removing technical blockers and guiding architectural decisions.
Senior Data Engineer (f/m/d)
Build and maintain Azure Databricks pipelines and data models that power financial insights for global wind projects, collaborating with finance teams to deliver scalable data solutions.
GCP Data Engineer (m/k) - IT Contracting
Designs, builds, and scales GCP-based data pipelines and warehouses, implementing ETL/ELT, real-time streaming, and big-data architectures while collaborating with analytics and business teams.
Middle Data Engineer (Azure Databricks)
Builds and maintains cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and BI in a modern Lakehouse architecture.