Top Data Engineer Jobs in Budapest

As a Backend Engineer, you'll lead technical problem-solving in data engineering and machine learning, improving risk assessment tools and features.

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 will design and maintain data pipelines, collaborate with cross-functional teams, and implement data quality measures for machine learning models.

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.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The Data Engineer will develop and optimize data pipelines for NPS programs, enrich survey data, ensure reliable workflows, and collaborate in an agile team.

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.

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.

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

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 Data Engineer will design RESTful APIs, contribute to targeting and segmentation pipelines, ensure system stability, and innovate in Data Platform architecture.

The Senior Data Engineer will build and maintain data pipelines for cost optimization in BigQuery, develop cost insights, and collaborate on data models and ETL flows while ensuring pipeline performance.

The Senior Data Engineer will design modern data architectures, lead projects, mentor teams, and provide technical expertise in data solutions across various sectors.

The Senior Data Engineer will lead and mentor teams, architect data models, ensuring alignment with business needs and managing cloud data solutions.

Design and build scalable data lifecycle solutions on Azure, manage data pipelines, and ensure quality and reliability of data applications in collaboration with business units.

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

As a Java Engineer, you will develop and optimize backend services, manage data pipelines for sports events, and ensure system reliability in real-time environments using Java and AWS.

Develop data platforms, collaborate on financial projects, and manage high data volumes while ensuring compliance and effective error handling.

This role involves building data products, creating and maintaining ELT pipelines, developing dashboards, and ensuring platform health while learning about data engineering.

As a Frontend Engineer, you will build and scale the frontend of a Customer Experience platform, ensuring quality and collaboration with the team. You will focus on excellent end-user experiences while maintaining the codebase and adhering to best practices.

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

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 role involves optimizing AI and data processing for fintech solutions, focusing on AI orchestration, document processing, NLP integration, and quality assurance of systems, requiring relevant experience in data science and LLMs.

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.