Data Engineer @ E-Group ICT Software Zrt. Budapest

Data Engineer @ E-Group ICT Software Zrt.

Budapest

• 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.

We are a rapidly growing, high-tech software company based in Budapest, operating in the artificial intelligence (AI) and technology industry. We specialize in developing unique, cutting-edge technology components in collaboration with European and global partners, making significant contributions to AI-driven solutions across various industries.

We are looking for a talented and motivated Data Engineer to join our team and contribute to a groundbreaking project in predictive maintenance modeling and deployment. 

As a Data Engineer, you will be responsible for designing, developing, and optimizing scalable data pipelines and infrastructure to support AI-driven applications. You will work on a high-impact EU projects.

You will play a key role in processing real-time data, building knowledge graph-based solutions, and enabling predictive analytics.

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.

,[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.] Requirements: Data engineering, Python, Streaming technologies, SQL, NoSQL, Graph databases, Cloud platform, Apache Airflow, Java, C#, Predictive maintenance projects, Machine learning algorithms, Neural networks, Agile 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.

Kategorie

data

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