About Us
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.
Job Type: Full-time
The Role
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.
Key Responsibilities
- 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.
Qualifications & Skills
Required:
- 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.
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.
Why Join Us?
- Work on state-of-the-art AI projects in predictive analytics, knowledge graphs, and big data processing.
- Join a dynamic, research-driven environment where your work contributes to AI advancements.
- Continuous learning and professional development through conferences, workshops, and training.
- Job stability with financial security in a company that values and invests in its employees.
- Autonomy and creative freedom—we empower engineers to take ownership of research initiatives.
- A supportive and collaborative research team dedicated to advancing AI-driven solutions for global solutions.
How to Apply?
Please send your CV (with a photo) and a motivation letter, including your salary expectations, to hr@egroup.hu.
We look forward to welcoming you to our team!