Top Data Engineer Jobs in Budapest

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

As an Applied ML Engineer, you will build and scale data pipelines for video generation, ensuring data quality and optimizing preprocessing workflows.

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.

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

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

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 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.

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

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

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.

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.

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

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 maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.