Senior Data Engineer

At Hypatos, we build vertical AI Agents that automate document-heavy, back-office workflows across enterprise functions like finance, compliance, procurement, and customer service. To scale our impact, we are looking for a Senior Data Engineer who will architect and build robust, scalable data infrastructure powering our AI-driven automation systems.

This role is deeply technical and cross-functional: You’ll work closely with AI Engineers, Product, and Delivery teams to design distributed data pipelines, optimize real-time data flows, and ensure our systems are reliable, performant, and secure at scale.

Key Responsibilities

• 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.

Your profile

• Attitude: Team player

• Background: Degree in Computer Science, Software Engineering, or a related discipline (or equivalent professional experience).

• Experience: 5+ years of experience in data engineering or backend systems, with a strong track record of building production-grade distributed systems.

• Distributed Systems: Deep understanding of distributed computing patterns and technologies (e.g., Spark, Kafka, Kubernetes).

• Data Infrastructure: Hands-on experience with ClickHouse, vector databases, and data modeling for high-performance applications.

• DevOps: Familiarity with CI/CD pipelines, GitHub workflows, Docker, and cloud native environments.

• AI Integration: Exposure to RAG pipelines and LLM-powered systems is a strong plus.

• Problem-Solving: Strong analytical mindset with attention to detail, debugging skills, and performance optimization experience.

• Communication Skills: Ability to clearly articulate technical concepts and collaborate effectively across teams.

• Growth Mindset: Openness to learning new technologies and adapting to evolving problem spaces.

Nice to Have

• Experience with Python in production environments.

• Familiarity with AI/ML-powered products or enterprise automation platforms.

• Knowledge of cloud platforms (AWS, GCP, or Azure).

• Experience mentoring or leading engineering teams.

• Exposure to enterprise system integrations (e.g., SAP, Salesforce, Oracle)

Our Promise

• We trust amazing people to do amazing things and make a long-term impact - we give you Freedom and ownership of meaningful work that directly impacts the business 

• Beyond a top market compensation, you will enjoy a personal development budget, meal allowance, sporting activities and free beers as well as a hybrid working model

• We're building a positive organizational culture where personal and professional growth are just as important as business growth 

• We believe different perspectives make Hypatos a better community - that is why we're committed to building a diverse and inclusive environment where you feel you belong 

About us

Hypatos is redefining enterprise work by deploying LLM-powered AI Agents into the hearth of business operations. Backed by leading investors (Elaia, Blackfin Tech, Grazia Equity, UVC Partners, DTFC, Plug & Play), we are expanding rapidly and building the foundation for the next generation of intelligent business systems. Join us to shape the future of enterprise automation-and help improve the way hundreds of millions of people work every day.