Top Data Engineer Jobs in Hungary

As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

As a Data Engineer, you'll optimize database performance, design data flow processes, develop automation tools, and engage in various development and infrastructure projects.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

The Data Engineer will design and maintain data pipelines, collaborate with cross-functional teams, and implement data quality measures for machine learning models.

Manage Online Data Engineer teams, oversee data infrastructure, prioritize projects, and develop advanced analytics aligned with business objectives. Provide leadership and mentorship while ensuring high performance and effective team collaboration.

The Online Data Engineer at The Home Depot translates business requirements into data infrastructure, develops algorithms, and maintains data architectures while collaborating on projects and enhancing analytics methods.

As a Data Engineer at Screenverse, you'll build ETL pipelines, ensure data quality, and contribute to data strategy in a collaborative environment.

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.

As a Middle Data Engineer, migrate SQL Server data warehouses to Snowflake, refactor ETL processes, build data pipelines, and ensure reliable data movement.

The Backend Developer will provide architecture governance, maintain Architecture Decision Records, design cross-domain solutions, and manage project tracking for architecture deliverables.

As a Data Engineer, you'll design, develop, and implement high-performance data infrastructure and pipelines while communicating effectively with various stakeholders.

As a Senior Data Engineer, you'll analyze data to provide insights, manage ETL processes, and collaborate for data strategy development.

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.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

The Data Engineer develops and maintains data solutions and pipelines, optimizes ETL processes, collaborates in Agile teams, automates testing, and provides documentation for knowledge sharing in a multicultural environment.

Design and develop cloud data solutions, lead project delivery, analyze interfaces, support user issues, and optimize data loads.

As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.

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 Engineer, you'll design and develop features for a new Data Platform utilizing AWS, data processing tools, and machine learning concepts. You'll collaborate with cross-functional teams, ensure quality deliverables, and leverage AI tools for coding and debugging.

As a Data Engineer at Nansen, you will build and optimize systems for their customer-facing analytics product, collaborating closely with crypto researchers and engineers to tackle large-scale data challenges and ensure data quality and reliability.

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

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 Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.