Top Data Engineer Jobs in Hungary

Build and operate compute and data infrastructure and AI application platforms. Collaborate with infrastructure, data, and AI experts to enable teams to develop, deploy, and run AI applications, focusing on scalability, reliability, APIs, and measurable organizational impact.

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

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

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

Design, build, and maintain data engineering solutions and ETL pipelines on cloud platforms. Optimize performance, implement CI/CD and automated tests, collaborate with product teams, document designs, and support production data quality and reliability.

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

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

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.

As a Backend Engineer, you'll lead technical problem-solving in data engineering and machine learning, improving risk assessment tools and features.

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.

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

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

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 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.

Responsible for testing data and AI solutions through manual and automation methods, developing test cases, executing tests, and collaborating with project teams to ensure solution effectiveness.

As a Senior Data Engineer, you will design and manage data pipelines, collaborate with stakeholders, and ensure data quality and governance across various projects.

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.

Assist in building data products by creating and maintaining ELT pipelines, developing dashboards, and supporting platforms on a cloud data platform.