Staff AI Analytics Engineer (Barcelona)

Staff AI Analytics Engineer (Barcelona)

07 sep
|
Factorial Hr
|
Barcelona

07 sep

Factorial Hr

Barcelona

Experteer Overview
In this StaffAI Analytics Engineer role, you will help shape Factorial’s analytics platform with a strong emphasis on advanced analytical architectures, semantic modeling, and AI/LLM-powered data workflows. You’ll work within the DX and Performance team to improve real-time analytics, data access, and scalable pipelines that empower product and business teams. This position offers the chance to influence architectural decisions and drive AI-enabled analytics across the company. You’ll join a mission to deliver robust, high-quality insights at scale.

Compensaciones / Ventajas
• Lead evolution of Factorial's analytics platform and how data becomes actionable for millions of users
• Design high-performance pipelines using ClickHouse and Kafka-based streaming
• Define and architect semantic models/cubes (measures, dimensions, joins, pre-aggregations)
• Integrate LLMs into analytics workflows (text-to-SQL, natural-language querying, conversational BI) with governance
• Apply prompt engineering, tool calling, and embedding-based retrieval (RAG)
• Build shared capabilities to enable other teams to develop intelligent analytic experiences




• Lead architectural decisions around modeling, performance, governance, observability, and scalability
• Collaborate with Product, Engineering, Analytics, and Data Science to translate business questions into scalable solutions

Responsabilidades
• Strong SQL skills with hands-on ClickHouse experience (queries, materialized views, MergeTree)
• Solid OLAP fundamentals (dimensional modeling, aggregations, star/snowflake schemas)
• Experience defining/building semantic layers/cubes (e.g. Cube.js)
• Experience integrating LLMs into structured analytics (RAG, text-to-SQL, tool calling)
• Proficiency in TypeScript for tooling, APIs, and data integrations
• Willingness to work with Ruby on Rails backends (optional)
• Familiarity with cloud environments (AWS/GCP), Docker, Kubernetes
• Experience with BI and data transformation tools (Cube.js, dbt, LookML, Superset)

Requisitos principales
• Alan private health insurance
• Wellhub (fitness benefits)
• Cobee expense management
• Language classes
• Breakfast in the office and organic fruit
• Pet Friendly

📌 Staff AI Analytics Engineer (Barcelona)
🏢 Factorial Hr
📍 Barcelona

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