Top Data Engineer Jobs in Budapest

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

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.

This role supports Supply Chain operations by improving data quality, managing data transformation, and designing data models for visualization.

The AI Systems & Data Engineer will handle data migration, build AI solutions, integrate systems, and automate workflows for HR transformation.

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 Data Engineer will design, build, and maintain data pipelines, work cross-functionally to define data requirements, and ensure data is secure and governed while supporting AI initiatives.

Design and build real-time data pipelines using ClickHouse and Google Cloud. Focus on data quality and optimize financial datasets for analytics.

This role involves developing GenAI tools, building data pipelines, enhancing AI automations, and collaborating with stakeholders for technical solutions.

As a Senior Data Engineer, you'll design and implement data pipelines, focus on AI-first workflows, manage data ingestion, and ensure data integrity.

As a Senior Data Engineer, you'll deliver complex projects using Apache Spark/Databricks, manage customer relationships, mentor junior engineers, and contribute to team success.

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

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

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

Design, implement, and maintain backend services, ETL pipelines, data storage, and APIs for a high-traffic SaaS platform. Ensure scalability, availability, performance, and data quality; collaborate with stakeholders, support internal users, and contribute to sprint planning and project tracking. Proactively resolve technical roadblocks and improve automation, testing, and platform reliability.

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.

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.

Design and implement data architectures, lead projects, collaborate with stakeholders, mentor teams, and ensure code quality.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

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.