Data Engineer

Are you a data enthusiast who thrives on building scalable, high-performance pipelines for cutting-edge AI applications? Do you enjoy turning complex datasets into actionable insights while working with cloud technologies, streaming data, and knowledge graphs? If you're ready to tackle challenging projects in healthcare, space, and fintech — all in a collaborative, innovation-driven environment — we'd love to hear from you

Key Responsibilities

• Design, develop, and optimize scalable data pipelines for processing large-scale structured and unstructured data.
• Ensure reliability, performance, and scalability of data systems.
• Build solutions to handle real-time streaming data from multiple sources.
• Develop and manage knowledge graph data structures to enhance AI applications.
• Ensure data accuracy, consistency, and compliance with industry standards.
• Collaborate with data scientists and researchers to design AI-driven data solutions.
• Create data infrastructure tailored for advanced AI workflows in healthcare, space exploration, and financial technology.
• Explore and implement innovative data engineering techniques for complex AI challenges.
• Implement data validation, monitoring, and governance mechanisms.
• Utilize cloud platforms (AWS, Azure, Google Cloud) for data storage and processing.
• Stay up-to-date with advancements in data engineering, AI, and industry trends.
• Proactively improve and optimize existing processes, tools, and systems.

Qualifications & Skills

Required:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in data engineering, AI-related projects, or predictive modeling.
• Strong Python programming skills (Java or C# is a plus).
• Experience with streaming technologies (e.g., Apache Kafka, Spark Streaming, Flink).
• Proficiency in SQL and NoSQL databases.
• Familiarity with knowledge graph databases (e.g., Neo4j, RDF, GraphQL).
• Hands-on experience with cloud platforms (AWS, Azure, Google Cloud).
• Strong understanding of data architecture and pipeline orchestration tools (e.g., Apache Airflow).
• Experience deploying AI/ML models in a product-focused development environment.
• Strong analytical and problem-solving skills for working with complex datasets.
• Excellent communication skills and ability to work in cross-functional teams.

Preferred:

• PhD or Master's degree in Data Science, Computer Science, Engineering, or Statistics.
• Experience with predictive maintenance projects.
• Understanding of machine learning algorithms and neural networks.
• Experience developing deployable AI/ML models in an agile environment.

What We Offer

• Competitive salary in a fast-growing company developing "beyond state-of-the-art" products.
• Opportunity to work on cutting-edge AI and data solutions in collaboration with global industry leaders.
• A dynamic, highly skilled team of experts working together on high-impact projects.
• Strong career growth opportunities and support for professional development.
• Access to advanced technology tools and latest software platforms.
• Flexible, innovative work environment where your ideas matter.
• Life and accident insurance coverage.
• A modern, green, and comfortable office in Buda, providing a great workspace.

Why Join Us?

• Work on diverse and exciting projects in AI, predictive analytics, and big data.
• Be part of a company that values innovation and technical excellence.
• Continuous learning and professional development through internal and external training.
• Stable employment with a secure financial background.
• Trust and independence—we empower our engineers to take ownership of their work.
• A strong collaborative environment with a supportive and friendly team.