AI Engineer

Huzzle; Berlin; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Work on-site in Berlin

Build foundational infrastructure

High-growth environment

Collaborate with elite professionals

Exposure to cutting-edge AI

Zusammenfassung

Huzzle is hiring an AI Data Engineer in Berlin to design and build foundational data architectures for a cutting-edge AI SAP consulting system. You will structure complex enterprise data, ensuring high quality and reliability while working closely with AI and ML teams. The ideal candidate has a strong background in data engineering, experience with semi-structured data, and knowledge of graph-based systems. Competitive salary and growth opportunities in a high-impact environment are offered.

Qualifikationen

• Strong background in data engineering with pipeline development experience.
• Experience with complex, semi-structured enterprise data.
• Knowledge of graph-based systems and relational modeling.

Aufgaben

• Design and build a scalable data layer for SAP projects.
• Own the metadata architecture for data labeling and queryability.
• Develop data pipelines for SAP telemetry and insights.
• Collaborate with AI/ML teams for model training data.
• Refine data systems with each customer deployment.
• Ensure data integrity and usability across systems.
• Architect scalable systems for long-term solutions.

Kenntnisse

Data engineering

Pipeline development

Schema design

Data modeling

Graph databases

Systems-level thinking

Data quality management

Jobbeschreibung

About Huzzle

At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI.

Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.

Job Type: Full-time

Location: On-site in Berlin, Germany

About the Company

Our client is an ambitious, venture-backed startup building an AI-powered SAP consultant designed to transform how enterprise systems are implemented and optimized. Already post-revenue and working with DAX 40 and Fortune 500 companies. Their mission is to encode and compound consulting knowledge across deployments, creating a system that becomes smarter with every customer engagement.

Job Summary

We are hiring an AI Data Engineer to design and build the foundational data layer that powers a next-generation AI system for SAP consulting. This role is critical in structuring complex enterprise data—capturing configurations, decisions, and relationships across deployments—and transforming it into scalable, queryable knowledge that improves model accuracy over time.

You will work at the intersection of data engineering and AI, ensuring that structured insights flow seamlessly into machine learning systems and continuously evolve with each customer interaction.

Key Responsibilities

• Design and build a scalable data layer that maps relationships across SAP projects, including configurations, outcomes, and domain patterns
• Own the metadata architecture, including data labeling, linking, versioning, and queryability
• Develop robust data pipelines to ingest SAP telemetry and consulting insights into structured datasets
• Collaborate closely with AI/ML teams to provide high-quality signals for model training and inference
• Continuously refine and improve data systems with each customer deployment
• Ensure high standards of data integrity, consistency, and usability across systems
• Architect systems with a long-term, scalable mindset rather than short-term fixes

Qualifications

• Strong background in data engineering, including pipeline development, schema design, and data modeling
• Experience working with complex, semi-structured enterprise data
• Knowledge of graph-based systems (knowledge graphs, graph databases) or relational modeling for complex domains
• Systems-level thinking with a focus on architecture and scalability
• Proven ability to maintain high standards for data quality and reliability
• Willingness to work on-site in Berlin (mandatory requirement)

Benefits

• Competitive salary aligned with top-tier European startup benchmarks
• Work on-site in Berlin at a fast-growing, venture-backed AI company
• Build foundational infrastructure for a category-defining AI product
• High-growth environment with strong funding and enterprise traction
• Collaborate with elite engineers, AI researchers, and enterprise clients
• Exposure to cutting-edge AI, data systems, and enterprise-scale challenges