Data Engineering Jobs in Hungary
There are 73 open Data Engineering jobs in Hungary on freehire right now. 11 of them were posted recently. The skills employers ask for most often are python, cloud and sql.
Most requested skills
- python 64%
- cloud 56%
- sql 56%
- data-engineering 51%
- data-quality 45%
- data-pipelines 44%
- ai 42%
- azure 41%
How the work is done
- Hybrid 22 · 30%
- Remote 11 · 15%
- Onsite 2 · 3%
Visa sponsorship offered in 54% of the 13 postings that state a position on it.
Seniority
- Senior 26
- Lead 3
- C-level 2
- Intern 1
- Junior 1
- Middle 1
Who is hiring
- 1000+ employees 16
- 501-1000 employees 16
- 201-500 employees 2
- 51-200 employees 2
- 11-50 employees 1
Developer, Data Analytics & Data Engineering
Design and build a modern Azure-based Lakehouse architecture using Databricks, Delta Lake, and Spark to replace legacy data warehouses and enable advanced analytics.
Expert Developer – Data Analytics & Data Engineering - REF5086I
Designs and builds data warehouse models, lakehouse architectures, and data pipelines while coaching teams on best practices and ensuring data security.
Expert Developer – Data Analytics & Data Engineering - REF5086I
Design and build a modern Lakehouse data platform on Azure using Databricks, Delta Lake, and Spark, migrating from legacy warehouses while coaching teams on best practices.
Data Engineer
Build and maintain data pipelines in Python and Spark to process anonymized network data, create benchmarking visualizations, and support Ericsson’s AI-driven analytics platform.
Data Platform Engineering Manager
Lead a team of data platform engineers to build and scale real-time streaming systems, AI-driven automation, and cloud-native data infrastructure for a fintech company.
Data Engineering Manager
Lead a 5-6 person data engineering team at a Databricks-backed consultancy, delivering ETL/ELT pipelines, cloud migrations, and real-time analytics for EMEA clients using Spark, Delta Lake, and cloud platforms.
Senior Cloud Data Engineer (AWS)
Design and build scalable AWS data pipelines and warehouses using SQL, Python, and Docker, then automate deployments with CI/CD for reliable, high-volume data solutions.
TMS Data Governance Lead
Leads data governance for a transportation management system, defining standards, ensuring SAP integration, and overseeing master data quality and migration.
Data Engineer
Builds and maintains data pipelines, ETL processes, and real-time data systems using Python, SQL, and cloud tools like GCP and Cloudera Hadoop.
Data Engineer (REF5635Y)
Builds and maintains data pipelines and analytics infrastructure to drive customer insights and AI use cases for Deutsche Telekom’s private customers.
Enterprise Data Product - Data Engineer
Builds and maintains global data pipelines and datalake infrastructure using Python, Spark, Databricks, and Azure services to ensure reliable, high-quality data for analytics.
Data Engineer (GYG4706)
Build and maintain Databricks-based pipelines for anomaly detection and KPI monitoring, using Azure, MLflow, and streaming/batch processing to support predictive maintenance in a climate-tech context.
Data Engineer
Designs and operates large-scale data pipelines to process real-time maritime streaming data, ensuring reliability and performance for global trade intelligence platforms.
Data Engineer
Builds and maintains scalable data pipelines using Python, Spark, Airflow, and GCP for analytics and AI-driven workflows.
Data Engineer gyakornok
Builds and maintains Python-based data pipelines and time-series databases to process automotive manufacturing data and support MLOps workflows for Bosch’s mobility products.
Data Engineer- EDLAP
Build and maintain a global data lake and pipelines using Python, Spark, Databricks, and Azure services to ensure reliable, high-quality data processing and analytics.
Data Engineer-Enterprise Data Product
Builds and maintains global data pipelines and lakes using Python, Spark, and Azure tools to ensure reliable, high-quality data for analytics and operations.
Senior Data Engineer
Designs and maintains data pipelines and warehouses for a global sports betting platform, ensuring accurate and timely data flows for analytics and business insights.