Staff AI Analytics Engineer

This position is at Factorial

The selection process will be fully managed by Factorial.

--

Hello! Would you love to improve the way companies take care of their people, their most valuable asset? We are looking for a **Staff AI Analytics Engineer** to join our **DX and Performance team** at Factorial, with a strong focus on advanced analytical architectures, semantic modeling, and integrating AI/LLM workflows into data consumption, and who want to lead that change people who: * Think of AI as part of their engineering process, not a feature they bolt on * Get energy from building products and seeing them generate real impact for customers * Care more about solving complex problems than fitting a traditional job description Ready to take on the challenge? ### DX and Performance Team ⚙️ The team’s primary goal is to increase Factorial’s quality, performance, and scalability by continuously improving the way we build our product. We focus on strengthening our tools, maintaining foundational elements, and promoting best practices in close collaboration with the rest of 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. Within this context, real-time analytics and intelligent data access are an increasingly important area of focus. As Factorial continues to scale, we want to strengthen how we handle 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. ### The role As an Engineer at Factorial, you’ll be part of a team of 200+ Engineers. We look for people who are curious, proactive, technically strong, and effective communicators. People who enjoy solving complex technical problems, raising standards across teams, and building systems that help the whole organization perform at a higher level. In this 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 against hallucinations. This is a cross-cutting role with broad impact. You will contribute through hands-on technical work, technical leadership, and by helping teams adopt stronger practices around real-time streaming ingestion, semantic layers, and AI-driven analytics. You’ll work in a multicultural, English-speaking environment where your technical depth, systems thinking, and problem-solving skills will directly contribute to our mission of improving business management processes for companies worldwide. Factorial serves 15,000+ active customers and 1M+ active users across business-critical workflows. Our current environment includes: * A large Ruby on Rails backend with GraphQL APIs * TypeScript applications and internal tooling * Complex CI/CD workflows * MySQL with replicas for OLTP workloads * **ClickHouse** for analytical workloads (using MergeTree engines, partitioning, and materialized views) * **Kafka** for event-driven processing and streaming ingestion * A multi-region cloud architecture (AWS/GCP) and Docker/Kubernetes * Modern semantic layers and BI tools (Cube.js, dbt, LookML, Superset, etc.) Don’t let unfamiliarity with every part of this stack hold you back. If you have worked in complex data systems, know how to reason about performance at scale, and are excited to help teams build next-generation AI-driven analytics, we want to talk to you. ### What you will work on * Lead the evolution of Factorial's analytics platform, defining how data is transformed into actionable information for millions of users * Design and build high-performance analytical pipelines using ClickHouse and streaming ingestion with Kafka * Develop and architect custom semantic models and semantic cubes from scratch defining measures, dimensions, joins, and pre-aggregations, not just configuring off-the-shelf frameworks * Integrate LLMs into analytics workflows: text-to-SQL, natural-language querying, and conversational BI, ensuring accuracy and governance over results * Apply advanced prompt engineering, tool/function calling, and embedding-based retrieval (RAG over structured data) * Build shared capabilities that will serve as the foundation for other teams to develop intelligent analytical experiences across the platform * Lead architectural decisions around analytical modeling, performance, data governance, observability, and scalability * Collaborate closely with Product, Engineering, Analytics, and Data Science teams to turn complex business questions into scalable, reusable solutions ### We are looking for profiles that have * Strong SQL skills and hands-on experience with ClickHouse (or equivalent columnar OLAP stores) query optimization, materialized views, and MergeTree engines * Solid grasp of OLAP fundamentals: dimensional modeling, aggregations, and star/snowflake schemas * Proven experience building or defining semantic layers / semantic cubes (e.g. Cube.js) * Experience integrating LLMs into structured data analytics. RAG, text-to-SQL, or tool/function calling * Proficiency in TypeScript for building tools, APIs, and data layer integrations ### Ideally, you also bring * Experience working with Ruby on Rails backends (or a strong willingness to work within one). * Familiarity with Vector Databases and embedding-based retrieval systems. * Experience with Cloud environments (AWS/GCP), Docker, and Kubernetes. * Familiarity with modern BI and data transformation tools (such as Cube.js, dbt, LookML, Metabase, Superset, or Tableau). ### How We Work (Barcelona, Madrid or A Coruña) At Factorial, we believe the best products are built when people come together, in person, to collaborate, challenge ideas, and move fast. That’s why our Engineering teams follow an office-first, flexible approach. We work on-site several days a week, using that time to connect, align, and innovate as a team. At the same time, we support remote work when it makes sense for focus, flexibility, or personal needs. This balance helps us stay agile, creative, and closely connected, while giving everyone the space to do their best work. ### About us At Factorial, we’re building the leading business management software for companies of all sizes. Our platform centralizes key workflows across HR, finance, and operations, freeing teams from manual processes so they can focus on what really matters: leading, growing, and taking care of their people.With over 1,200 employees across 7 markets, we serve 700,000+ users and are one of Europe’s fastest-growing SaaS companies, backed by top-tier investors and proudly headquartered in Barcelona.We believe in bold goals, radical ownership, and inclusive collaboration. If you're excited to shape the future of business management technology, we’d love to meet you. ### Our Values ✨ * **We own it**: We take responsibility for every project. We make decisions, not excuses. * **We learn and teach**: We're dedicated to learning something new every day and, above all, share it. * **We partner**: Every decision is a team decision. We trust each other. * **We grow fast**: We act fast. We think that the worst mistake is not learning from them. * **We believe in diverse talent**: We welcome applicants from all backgrounds and strongly encourage people of diverse experiences and identities to apply. * **We believe in inclusion**: We are committed to equal opportunities and actively promote workplace inclusion of people with disabilities. If you would like to learn more about our inclusive recruitment processes, you are welcome to indicate so optionally and we will share additional information with you. Wanna learn more about us? Check our [website]( ### Perks of being part of our team We care about people and we also offer a lot of benefits for employees: * High growth, multicultural and friendly environment * [Alan]( as private health insurance * Healthy life with [Wellhub]( (Gyms, pools, outdoor classes) ️‍♀️ * Save expenses with [Cobee]( * Language classes ️ * Breakfast in the office and organic fruit * [Nora]( discounts ️ * Free caffeine and theine ☕ * Pet Friendly

--