Top Data Engineer Jobs in Hungary

The role involves designing scalable data pipelines, developing AI-enabled digital experiences, and collaborating with stakeholders to govern data for personalization and analytics.

As a Data Engineer, you'll design and maintain data pipelines, establish data management practices, and collaborate with stakeholders for insights. You will lead data engineering strategies and mentor juniors.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

As a Data Operations Engineer, you'll ensure seamless data flow, enhance data pipelines, collaborate to resolve issues, and apply quality engineering practices across the software development lifecycle.

Lead the development of data infrastructure for AI initiatives, optimize data pipelines, collaborate with AI teams, and implement data governance measures.

The role involves building and enhancing data pipelines and ETL processes for AI initiatives, collaborating with various teams to deliver reliable data solutions, and ensuring compliance and data quality.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The role involves architecting scalable data solutions, building ETL pipelines, ensuring data integrity, and collaborating across teams to support analytics and machine learning at Kpler.

The Data Engineer builds and maintains BI and Analytics platforms, developing ETL pipelines, optimizing data integration, and enhancing data quality for insights.

The Data Engineer designs and implements data infrastructure, ETL/ELT processes, manages data pipelines, ensures data quality, and supports data-driven decision making.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

Design and implement data architecture, develop data pipelines, collaborate with stakeholders, automate data tasks, and mentor junior engineers.

The Senior Data Engineer will design and develop scalable data pipelines, manage data lakes, ensure code quality, and mentor team members using modern data technologies.

Design and implement data products, develop data pipelines, and ensure data governance. Collaborate with analysts on insights and automate tasks.

The Data Engineer will design and operate scalable ingestion pipelines on Azure Fabric, develop Python libraries, and implement best engineering practices. The role requires collaboration with data architects and analytics engineers to deliver data products and ensure governance adherence.

The Senior Cloud Data Engineer designs and implements data solutions on AWS, optimizing data pipelines, writing SQL and Python code, and managing deployments with DevOps practices.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

Build and optimize data pipelines in Snowflake, automate transformations, and collaborate with technical and business teams to meet project requirements.

As a Data Quality Engineer, you will manage data quality, ensure accurate data entry, organize documents, and support data workflows while collaborating with teams to improve practices.

The Senior Data Engineer will build and optimize data pipelines, collaborate with engineering teams, and ensure data quality and scalability.

Design and develop scalable applications in the power engineering domain, focusing on full-stack solutions with a data engineering mindset to optimize performance and system architecture.

Assist in building data products by creating and maintaining ELT pipelines, developing dashboards, and supporting platforms on a cloud data platform.

Lead design and implementation of scalable data architectures, pipelines and Data/AI features. Build reliable data warehouses and ETL, enable analytics, and collaborate with product, analysts and supply chain specialists to deliver optimized, production-ready solutions.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.