Top Data Engineer Jobs in Hungary

The Data Engineer will design and implement features for a regulatory compliance data platform, collaborating with cross-functional teams while ensuring performance and adherence to coding standards.

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

The Data Engineer will design and manage data workflows, develop AI-driven solutions, and maintain Snowflake data pipelines, improving analytics and reporting processes.

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.

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 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.

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.

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

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 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 is responsible for designing and building APIs, developing data pipelines, ensuring system reliability, and collaborating on technical solutions for business outcomes.

The Data Engineer will design and operate scalable ingestion pipelines on Azure Fabric, develop Python libraries, and implement best engineering practices. The role requires collaboration with data architects and analytics engineers to deliver data products and ensure governance adherence.

The Senior Data Engineer will design and develop scalable data pipelines, manage data lakes, ensure code quality, and mentor team members using modern data technologies.

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

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.

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.