Top Data Engineer Jobs in Budapest

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.

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

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 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 Senior Backend Engineer will design and build scalable APIs and solutions for enterprise applications, focusing on data quality and collaboration with data scientists for AI integration.

The Senior Data Engineer will lead data engineering efforts, architect cloud data solutions, mentor teams, and align data requirements with business needs.

The Sr. Software Engineer - Data Platform designs scalable data solutions, enhances the data platform, and applies engineering best practices for data analytics and governance.

Develop and maintain high-performance applications for financial data systems using Java and Python. Collaborate in a distributed team, manage multiple projects, and ensure scalable architecture.

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

This role involves data collection for model training, maintaining cloud infrastructure, collaborating with scientists on data quality and cost, and developing an AI dataset roadmap.

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 deliver complex projects using Apache Spark/Databricks, manage customer relationships, mentor junior engineers, and contribute to team success.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

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 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.