Top Data Engineer Jobs in Hungary

The Data Engineer will design and implement features for a regulatory compliance data platform, collaborating with cross-functional teams while ensuring performance and adherence to coding standards.

The Data Engineer will design and manage data workflows, develop AI-driven solutions, and maintain Snowflake data pipelines, improving analytics and reporting processes.

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 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.

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

The AI Systems & Data Engineer will handle data migration, build AI solutions, integrate systems, and automate workflows for HR transformation.

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.

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

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

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 Sr. Software Engineer - Data Platform designs scalable data solutions, enhances the data platform, and applies engineering best practices for data analytics and governance.

Develop and maintain high-performance applications for financial data systems using Java and Python. Collaborate in a distributed team, manage multiple projects, and ensure scalable architecture.

The Data Engineer is responsible for designing and building APIs, developing data pipelines, ensuring system reliability, and collaborating on technical solutions for business outcomes.

As a Senior Data Engineer, you'll design and implement data pipelines, focus on AI-first workflows, manage data ingestion, and ensure data integrity.

This role involves data collection for model training, maintaining cloud infrastructure, collaborating with scientists on data quality and cost, and developing an AI dataset roadmap.

This role involves developing GenAI tools, building data pipelines, enhancing AI automations, and collaborating with stakeholders for technical solutions.

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