Top Data Engineer Jobs in Budapest

The role involves designing scalable data pipelines, developing AI-enabled digital experiences, and collaborating with stakeholders to govern data for personalization and analytics.

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.

Design and implement data architecture, develop data pipelines, collaborate with stakeholders, automate data tasks, and mentor junior engineers.

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

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.

Lead the development of data infrastructure for AI initiatives, optimize data pipelines, collaborate with AI teams, and implement data governance measures.

The role involves building and enhancing data pipelines and ETL processes for AI initiatives, collaborating with various teams to deliver reliable data solutions, and ensuring compliance and data quality.

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 Data Engineer builds and maintains BI and Analytics platforms, developing ETL pipelines, optimizing data integration, and enhancing data quality for insights.

The Data Engineer will design and maintain data pipelines, optimize ETL processes, ensure data quality, and collaborate in an agile environment.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

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 Data Engineer designs and implements data infrastructure, ETL/ELT processes, manages data pipelines, ensures data quality, and supports data-driven decision making.

Design and implement data products, develop data pipelines, and ensure data governance. Collaborate with analysts on insights and automate tasks.

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

The Senior Data Engineer will design RESTful APIs, contribute to targeting and segmentation pipelines, ensure system stability, and innovate in Data Platform architecture.

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.

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 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.

Design and develop scalable applications in the power engineering domain, focusing on full-stack solutions with a data engineering mindset to optimize performance and system architecture.