Top Data Engineer Jobs in Hungary

Design, implement, and maintain scalable real-time data pipelines, automate processes, own cloud-based infrastructure, and mentor other engineers.

Design and build scalable data lifecycle solutions on Azure, manage data pipelines, and ensure quality and reliability of data applications in collaboration with business units.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

The Senior Data Engineer will design, implement, and maintain data pipelines, manage cloud infrastructure, and mentor engineers while handling end-to-end feature ownership.

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 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.

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.

The Full-Stack Developer will build scalable frontend components using Angular, develop RESTful APIs with Java Spring Boot, integrate third-party APIs, and collaborate with other teams to deliver complete features.

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

The Senior Data Engineer will design and deliver data ingestion pipelines, enhance operational reliability, lead technical initiatives, and improve developer experience in a data-driven environment.

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.