AI Research Data Engineer @ E-GROUP ICT SOFTWARE Zrt. Budapest

AI Research Data Engineer @ E-GROUP ICT SOFTWARE Zrt.
Budapest
Budapest, Budapest, HU

We are a rapidly growing high-tech software company based in Budapest, specializing in artificial intelligence (AI), big data, and advanced technology solutions. Our work involves developing cutting-edge AI-driven systems in collaboration with European and global partners, including leading research institutions and space agencies.

We are seeking a highly skilled AI Research Data Engineer to support a pioneering project in predictive maintenance and AI-assisted monitoring. This role involves building and optimizing AI-ready data infrastructure, enabling machine learning (ML) and knowledge graph-based models to power next-generation AI applications.

As an AI Research Data Engineer, you will play a critical role in designing and implementing scalable, high-performance data pipelines that support AI-driven research and development projects. Your work will enable real-time data processing, predictive analytics, and intelligent automation in a collaborative R&D environment.

You will be involved in a high-impact AI project, contributing to the development of a federated AI systems. Your expertise in data engineering, knowledge graphs, and ML model deployment will be essential in transforming research concepts into production-ready AI solutions.

What We Offer

• Competitive salary in a fast-growing AI research and technology company.
• Opportunities to work on groundbreaking AI research in collaboration with global partners.
• A highly skilled, research-driven team working on cutting-edge AI technologies.
• Professional development opportunities, including access to leading AI research networks.
• Flexible work environment fostering innovation and independent thinking.
• Access to advanced computing resources for AI/ML experimentation.
• Life and accident insurance coverage.
• A modern, innovation-focused office in Buda, offering an inspiring workplace.

• Master’s or PhD in Computer Science, Data Science, AI, Engineering, or a related field.
• 3+ years of experience in data engineering with exposure to AI-driven projects.
• Strong programming skills in Python (Java or C# is a plus).
• Experience with real-time streaming technologies (e. g. ,  Apache Kafka, Spark Streaming, Flink).
• Proficiency in SQL and NoSQL databases.
• Hands-on experience with knowledge graph databases (e. g. ,  Neo4j, RDF, GraphQL).
• Expertise in data modeling, schema design, and knowledge graph structures.
• Experience working with cloud-based data engineering platforms (AWS, Azure, Google Cloud).
• Strong knowledge of big data processing frameworks and orchestration tools (e. g. ,  Apache Airflow).
• Familiarity with deploying ML models into production environments.
• Strong problem-solving and analytical skills for complex AI/ML-driven challenges.
• Ability to work effectively in cross-functional research teams.
• Excellent written and verbal communication skills for conveying AI and data engineering concepts.

Preferred

• Experience with predictive maintenance models and AI-driven anomaly detection.
• Strong understanding of graph neural networks and semantic AI technologies.
• Hands-on experience integrating AI models with edge computing environments.
• Experience with deploying AI/ML models in cloud-based environments.

We are a rapidly growing high-tech software company based in Budapest, specializing in artificial intelligence (AI), big data, and advanced technology solutions. Our work involves developing cutting-edge AI-driven systems in collaboration with European and global partners, including leading research institutions and space agencies.

We are seeking a highly skilled AI Research Data Engineer to support a pioneering project in predictive maintenance and AI-assisted monitoring. This role involves building and optimizing AI-ready data infrastructure, enabling machine learning (ML) and knowledge graph-based models to power next-generation AI applications.

As an AI Research Data Engineer, you will play a critical role in designing and implementing scalable, high-performance data pipelines that support AI-driven research and development projects. Your work will enable real-time data processing, predictive analytics, and intelligent automation in a collaborative R&D environment.

You will be involved in a high-impact AI project, contributing to the development of a federated AI systems. Your expertise in data engineering, knowledge graphs, and ML model deployment will be essential in transforming research concepts into production-ready AI solutions.

What We Offer

• Competitive salary in a fast-growing AI research and technology company.
• Opportunities to work on groundbreaking AI research in collaboration with global partners.
• A highly skilled, research-driven team working on cutting-edge AI technologies.
• Professional development opportunities, including access to leading AI research networks.
• Flexible work environment fostering innovation and independent thinking.
• Access to advanced computing resources for AI/ML experimentation.
• Life and accident insurance coverage.
• A modern, innovation-focused office in Buda, offering an inspiring workplace.

, [Design and develop scalable AI-ready data pipelines for structured and unstructured data. , Optimize data infrastructure to support machine learning models in real-time environments. , Build knowledge graph-based data architectures for advanced AI applications. , Develop solutions for real-time data ingestion, transformation, and storage. , Ensure data integrity, consistency, and compliance with industry standards. , Implement data validation, monitoring, and governance mechanisms. , Collaborate with data scientists and professional AI researchers to design efficient ML pipelines. , Support AI-driven research projects in several industry sectors e. g. healthcare, space exploration, and financial technology. , Work with cloud-based big data platforms (AWS, Azure, Google Cloud) to develop scalable solutions. , Optimize AI/ML model deployment pipelines to enhance research-to-production transition. , Stay at the forefront of data engineering innovations in AI research and industrial applications. ] Requirements: Data engineering, Machine learning, AI, Python, Real-time streaming technologies, SQL, NoSQL, Graph databases, Data modeling, Schema design, Big Data, Orchestration tools, PyTorch, GPU, AWS, Java, C#, Predictive maintenance models, Anomaly detection, Graph neural networks, Semantic AI technologies, Spark, Scala, R, Airflow, AI pipeline Additionally: Magánegészségügyi ellátás, Csoportos élet- és balesetbiztosítás, International projects, Külföldi konferenciák, Flat structure, Expert team, Barátságos csapat, Ingyenes kávé, tea, snack, Free parking, Mobiltelefon, Bike parking, Shower, Pihenő zóna, Startup atmosphere, Modern budai iroda, No dress code.