AI Engineer

Huzzle.com; Berlin; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Fast-growing startup environment

Collaboration with elite engineers and AI researchers

Exposure to cutting-edge AI and enterprise challenges

Zusammenfassung

Huzzle.com is seeking an AI Data Engineer to design and build the foundational data layer for their AI-powered SAP consulting system. This critical role involves structuring complex enterprise data and ensuring seamless integration with machine learning systems. Ideal candidates should have a strong data engineering background, experience with semi-structured data, and a focus on high data quality standards. The position is on-site in Berlin, offering a competitive salary in a fast-growing startup environment.

Qualifikationen

• 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 or relational modeling for complex domains.

Aufgaben

• Design and build a scalable data layer that maps relationships across SAP projects.
• Own the metadata architecture, including data labeling and versioning.
• Develop robust data pipelines to ingest SAP telemetry into structured datasets.
• Collaborate closely with AI/ML teams to provide high-quality signals for model training.
• Continuously refine and improve data systems with each customer deployment.
• Ensure high standards of data integrity and usability across systems.

Kenntnisse

Data engineering

Pipeline development

Schema design

Data modeling

Graph-based systems

High data quality standards

Systems-level thinking

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.

Job Details

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

Requirements

• 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