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.

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, 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.

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.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

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.

Coordinate development and operation of a global BI platform: translate business needs into work packages, align cross-functional teams, define requirements, manage incidents, ensure governance, and drive continuous improvement for Azure-based analytics.

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

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

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.

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.

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 Data Engineer, you will develop fraud detection systems, automate data processes, design data ingestion and APIs, and collaborate with Data Scientists.

The Data Platform Engineer will manage and optimize Linux-based HPC environments and AWS cloud resources, collaborating with R&D teams to enhance computational needs and ensure efficient scientific workflows.

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

Lead design and implementation of scalable data architectures, pipelines and Data/AI features. Build reliable data warehouses and ETL, enable analytics, and collaborate with product, analysts and supply chain specialists to deliver optimized, production-ready solutions.

Design, build, and operate scalable data warehousing and lakehouse infrastructure, own ELT pipelines, implement data models and governance, automate data quality and lineage, mentor engineers, and partner with product and finance to translate business needs into robust data solutions.

Design and implement modern data architectures and lakehouse solutions (Databricks, Snowflake, Azure, AWS); provide technical leadership and pre-sales estimations; mentor 3–6 person teams; ensure code quality via reviews; collaborate with business stakeholders to deliver complex data solutions.

Design, develop, and maintain software systems for data collection pipelines, lead backend component development, mentor engineers, and improve system reliability while collaborating with 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.

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.