Senior Data Engineer, Hypatos
AI document processing & automation solutions
Open for applications
AI document processing & automation solutions
21-100 employees
Open for applications
21-100 employees
Company mission
To add value to critical business operations using third-wave AI and advanced automation technologies for document processing.
Role
Who you are
- 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
Desirable
- 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)
What the job involves
- 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
- 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
Our take
Hypatos is revolutionising document processing by using AI to automate repetitive tasks, unlocking efficiency and reducing operational costs. With back-office tasks covering €2T annually, Hypatos is seizing this massive opportunity with AI agents to handle complex transactional data across document types.
Initially focused on financial services, Hypatos is enabling businesses to automate processes like accounts payable, order processing, and travel expenses. Its AI agents integrate into existing systems, improving accuracy and efficiency across various document types.
As the company continues to grow, it is focused on expanding its AI capabilities and targeting growth in Europe, North America, and Asia. The company has ambitious plans to lead the global market in intelligent document processing, and its on its way to doing so.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-6% employee growth in 12 months
Company
Funding (2 rounds)
Sep 2020
$11.8m
SEED
Dec 2018
$3.7m
SEED
Total funding: $15.5m
Company benefits
- Make your own decisions: You are given the ownership of your area and responsibility to make the decisions
- Work whenever, wherever: Work from any corner of the globe - live where you love it, work when you're at your best, and blend life with career seamlessly
- Unlimited Vacation: We want you to feel your best at work. Take all the time off you need
- Employee Referral Program: We are always searching for bright minds to help us reach our goals. Your effort in helping us will not go unnoticed
- Company & Team Events; You'll have the option to travel often. Be it to team off sites or all-company events. All expenses covered
- German Language Courses: Our company language is English, but if you want to improve your German, we'll give you a helping hand
Company HQ
Nördliche Innenstadt, Potsdam, Germany
Leadership
Uli Erxleben
(Co-Founder & CEO)Alongside Hypatos, they are the co-founder of BERLINER and the Owner of d.partners. They previously co-founded SMACC where they served as a Board Member for 8 years. They also spent 2 years as the Co-CEO of ProSiebenSat.1 Media, 1 year as a Marketing Director at Rocket Internet, and 5 years as a Management Consultant at McKinsey & Company.
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