Top Data Engineer Jobs in Budapest

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.

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.

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

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

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

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

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

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.

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 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.

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

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

The Data Engineer will design and maintain ETL pipelines, optimize data models, develop exporters, and ensure reliable data services for the Lambda app in a fast-paced startup environment.

The Junior Data Engineer / ETL Developer is responsible for data stream processing, SQL development, ETL process support, and data quality management while collaborating with various teams.

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.

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

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.

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

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.

Lead data platform design and evolution, optimize ETL workflows, ensure data quality, mentor engineers, and partner with business teams.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.