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Huzzle is looking for an AI Data Engineer in Berlin to design and build a scalable data layer for their next-generation AI system in SAP consulting. This role involves structuring complex enterprise data, ensuring the insights flow seamlessly into machine learning systems.
The ideal candidate will have a strong background in data engineering, including pipeline development and a focus on high data quality. Working on-site, you'll collaborate with top-tier engineers in a fast-growing AI startup.
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
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.
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.
Competitive salary aligned with top‑tier European startup benchmarks
Work on‑site in Berlin at a fast‑growing, venture‑backed AI company
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