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Top Data Engineer Jobs in Budapest
In this role, you will design and maintain scalable data warehouse solutions, implement ETL processes, design data models, enforce data governance policies, and collaborate with cross-functional teams to enhance data accessibility for reporting and decision-making.
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The Principal Data Engineer will build data foundations for an AI-powered architecture design product, creating optimized data systems and robust data pipelines that support rapid experimentation and decision-making processes, and collaborating with cross-functional teams to meet data needs.
As a Research Engineer at Autodesk, you will build ML-powered product features and unify disparate data sources (text, images, 3D models). Your role involves developing scalable systems for data processing, conducting experiments, producing visualizations, and ensuring compliant data use while collaborating with AI researchers.
As a Data & AI Video Content Developer at DataCamp, you'll create engaging educational video content focused on data and AI for social media. Responsibilities include content prioritization, production, and post-production, collaborating with marketing and SEO teams to deliver high-quality materials. Strong communication and organizational skills are key, alongside a passion for data education.
As a Senior Data Engineer, you will enhance the online car market user experience by building and maintaining data pipelines, simplifying tools, and driving improvements while collaborating with a team of Senior Engineers and managers.
The Senior Data Ops Engineer will maintain data and database platforms, ensuring high data availability and performance. Responsibilities include managing data pipelines, collaborating with engineers, automating infrastructure with Terraform, and integrating Docker in CI/CD processes.
As a Senior Data Engineer, you will leverage your expertise in Google Cloud and associated technologies to help clients modernize their data processes. You will engage in building ELT and ETL pipelines, working with various databases, and offering strategic guidance within customer teams.
As a Lead Data Engineer, you will shape the future of online car markets, leading complex data projects, organizing teams, and designing new data solutions while working closely with engineers and management in a collaborative environment.
As a Senior Data Engineer at Auros, you will be responsible for developing and maintaining high-throughput data architectures, analyzing and automating data quality improvements, and building trading analytics systems. You will collaborate with trading teams to enhance data analysis and systems for executing trades globally.
As a Data Systems Engineer, you will develop key technology for processing blockchain data, implement storage strategies, optimize performance in multi-tenant systems, and build data transformation pipelines. You will also leverage Apache DataFusion and contribute to the engineering of core components of The Graph.
As a Junior/Mid Data Analytics Engineer, you'll develop and maintain reports and dashboards, perform data visualization, conduct training sessions for customers, and manage ETL processes while collaborating with stakeholders to gather and analyze requirements.
As a Senior Data and AI Engineer, you will lead AI strategy, design data pipelines, and deploy AI models using cloud infrastructure while collaborating with teams to integrate AI solutions, ensuring responsible innovation.
The Data Engineering Specialist will oversee the backend application, focusing on data ingestion, processing, pipeline orchestration, and API development. Responsibilities include optimizing queries on the Snowflake platform, resolving pipeline issues, and promoting best practices in code management. The role requires collaboration for seamless server-side and client-side integration while managing the entire product lifecycle from design to support.
The Senior Data Engineer will design, develop, and maintain data pipelines, write complex SQL queries, implement data models in Snowflake, and develop Python and C# scripts for data processing. The role involves collaboration with data analysts and ensuring data quality while optimizing data storage and performance.
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