Top Data Engineer Jobs in Hungary

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

Seeking a Senior Data Engineer to build and manage scalable data ingestion on an Azure platform, focusing on CDC and Python-based frameworks. Collaborate for robust data products while applying engineering best practices.

Design and develop scalable data pipelines using Databricks and Azure services, manage delta lake datasets, and mentor team members.

The Staff Software Engineer will design cloud-native architectures, lead AI solutions, mentor engineers, and influence technical direction across teams.

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 Platform Engineer will optimize data infrastructure, build ELT pipelines, and collaborate with various teams to enhance data governance and insight-driven decision-making.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

Lead Data Engineer responsible for designing and building scalable data solutions. Mentor teams, optimize pipelines, and drive best practices in data architecture, governance, and API development.

The role involves designing and building production-grade AWS-native AI/ML infrastructure, collaborating with various engineering teams, and establishing operational standards for AI/ML systems.

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.

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

The Senior AI/ML Engineer will design and implement AI/ML solutions, lead project discussions, mentor junior staff, and provide technical guidance in a cloud environment.

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

The Senior Data Engineer will build and optimize data pipelines, collaborate with engineering teams, and ensure data quality and scalability.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.