Senior Data Engineer

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October 22

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Hypatos

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Artificial Intelligence • Enterprise • Finance

Hypatos is a company specializing in AI-powered document processing automation. Its platform enhances efficiency by deploying AI agents that handle transactional documents, increasing speed and accuracy while reducing the need for manual intervention. The company offers solutions for various business processes such as accounts payable, travel expenses, and order processing. Hypatos integrates with major systems like SAP and Microsoft, ensuring quick deployment and seamless operation. The platform's capabilities allow businesses to achieve high levels of automation, significantly lowering operational costs and reducing errors.

51 - 200 employees

🤖 Artificial Intelligence

🏢 Enterprise

💸 Finance

💰 Series A on 2022-01

📋 Description

• Architect and build robust, scalable data infrastructure powering AI-driven automation systems • Design and implement distributed data pipelines using Spark (PySpark), Kafka, and Kubernetes • Build and maintain scalable data infrastructure for real-time and batch processing • Develop and optimize data models and storage solutions using ClickHouse and vector databases • Collaborate with AI engineers to support Retrieval-Augmented Generation (RAG) pipelines and other LLM-powered workflows • Ensure data reliability, performance, and security across all environments • Contribute to CI/CD workflows, testing frameworks, and monitoring solutions for data systems • Translate business requirements into scalable data solutions in collaboration with Product and Delivery teams • Mentor junior engineers and promote best practices in data engineering and distributed systems

🎯 Requirements

• Team player • Degree in Computer Science, Software Engineering, or a related discipline (or equivalent professional experience) • 5+ years of experience in data engineering or backend systems, with a strong track record of building production-grade distributed systems • Deep understanding of distributed computing patterns and technologies (e.g., Spark, Kafka, Kubernetes) • Hands-on experience with ClickHouse, vector databases, and data modeling for high-performance applications • Familiarity with CI/CD pipelines, GitHub workflows, Docker, and cloud native environments • Exposure to RAG pipelines and LLM-powered systems is a strong plus • Strong analytical mindset with attention to detail, debugging skills, and performance optimization experience • Ability to clearly articulate technical concepts and collaborate effectively across teams • Openness to learning new technologies and adapting to evolving problem spaces

🏖️ Benefits

• Beyond a top market compensation, you will enjoy a personal development budget • Meal allowance • Sporting activities • Free beers • Hybrid working model