DX and Performance Team
We are looking for a Staff AI Analytics Engineer to join our DX and Performance team at Factorial. The role is focused on advanced analytical architectures, semantic modeling, and integrating AI/LLM workflows into data consumption, and the right candidate will lead these initiatives.
Good candidates think of AI as part of the engineering process, enjoy building products that create real impact for customers, and prioritize solving complex problems over fitting a traditional job description.
About the Team
The team’s primary goal is to increase Factorial’s quality, performance, and scalability by continuously improving how we build our product. We strengthen tools, maintain foundational elements, and promote best practices in close collaboration with the engineering organization.
Our mission is to equip product builders and business teams with robust, AI‑enabled tools and practices to deliver and interpret insights with quality, confidence, and efficiency. We work across teams to improve analytical software patterns, optimize high‑scale data queries,



and raise the overall data and engineering bar across the company.
Real‑time analytics and intelligent data access are an increasingly important area of focus. As Factorial continues to scale, we strengthen massive‑scale data ingestion, build highly efficient OLAP structures, and apply modern LLM workflows to bridge the gap between complex databases and natural language querying.
About the Role
You will help shape how Factorial processes, models, and queries high‑performance analytical data. You will work closely with product and data teams to design semantic models from scratch, optimize complex columnar data stores, and build modern text‑to‑SQL or conversational BI capabilities that govern how users interact with data.
You will partner with engineering leaders across product and infrastructure to build robust data pipelines and ensure our AI integrations are grounded, accurate, and secure agains

📌 Staff AI Analytics Engineer (España)
🏢 Factorial
📍 España