Top Data Engineer Jobs in Hungary

Lead Data Engineer responsible for designing and building scalable data solutions. Mentor teams, optimize pipelines, and drive best practices in data architecture, governance, and API development.

The Senior Data Engineer will design RESTful APIs, contribute to targeting and segmentation pipelines, ensure system stability, and innovate in Data Platform architecture.

The Senior Java Engineer will develop and optimize data-intensive backend services, work on architectural decisions, and ensure system reliability within a fast-paced environment.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

The role involves optimizing AI and data processing for fintech solutions, focusing on AI orchestration, document processing, NLP integration, and quality assurance of systems, requiring relevant experience in data science and LLMs.

As a Senior Data Engineer, you'll deliver complex projects using Apache Spark/Databricks, manage customer relationships, mentor junior engineers, and contribute to team success.

The Senior Data Engineer will lead cloud data solutions, architect data models, mentor teams, and align data strategies with business needs.

Design and develop scalable data pipelines using Databricks and Azure services, manage delta lake datasets, and mentor team members.

Seeking a Senior Data Engineer to build and manage scalable data ingestion on an Azure platform, focusing on CDC and Python-based frameworks. Collaborate for robust data products while applying engineering best practices.

Design, develop, and maintain scalable data-driven applications, support deployment and monitoring, and mentor team members while aligning projects with business requirements.

As a Senior Data Analyst, you will design and develop dashboards, conduct data analysis, support decision-making, and collaborate with teams to translate business requirements into insights.

Design, build, and operate scalable data warehousing and lakehouse infrastructure, own ELT pipelines, implement data models and governance, automate data quality and lineage, mentor engineers, and partner with product and finance to translate business needs into robust data solutions.

Design, develop, and maintain software systems for data collection pipelines, lead backend component development, mentor engineers, and improve system reliability while collaborating with teams.

Design and implement data architectures, lead projects, collaborate with stakeholders, mentor teams, and ensure code quality.

Design and evolve Lakehouse on Azure architectures (Databricks, Delta Lake), build/prototype data platform solutions, support and coach engineering teams, ensure data protection and platform best practices.

Design, build, and operate Azure/Databricks ingestion and CDC pipelines; develop Python-based reusable components and CI/CD for production data frameworks; maintain Delta Lake bronze/silver datasets; implement observability, security, and governance; mentor engineers and contribute to platform standards.

Maintain and operate the Power Platform frontend (Power BI, Power Apps, Power Automate, SharePoint) integrated with an Azure Lakehouse. Ensure reliable data connections, gateway management, RBAC and security, monitor performance and refreshes, resolve incidents, coach Self-Service BI teams, produce operational dashboards and documentation, and drive continuous improvement and alignment with backend data engineering standards.

Define and govern Lakehouse layer semantics, promotion rules, and platform contracts; evolve reference architecture and roadmap; review solution designs for platform conformance; embed governance in tooling (Unity Catalog/OneLake); maintain architecture documentation and align platform with enterprise architecture and domain teams.

The Senior Data Engineer will develop and maintain GCP solutions, create ETL processes, and provide support for cloud transformations using Java, Python, and SQL.

Responsible for testing data and AI solutions through manual and automation methods, developing test cases, executing tests, and collaborating with project teams to ensure solution effectiveness.

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.

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

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.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

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