We're looking for an engineer who wants to shape the future of AI-powered analytics. If you're excited about building semantic models, enabling natural language analytics, and making data accessible through LLMs, this role is for you. What you'll be working on ✨ Designing high-performance analytical models on modern OLAP databases (ClickHouse or similar)

✨ Building AI-powered analytics experiences, including:

Text-to-SQL

Conversational BI

RAG over structured data

Semantic layers for governed analytics

✨ Creating semantic models from the ground up, defining measures, dimensions, joins, and pre-aggregations that power reliable business insights.

✨ Developing APIs and backend tooling using TypeScript (and collaborating with Ruby on Rails services).

✨ Designing real-time analytical pipelines with streaming technologies such as Kafka and ClickHouse ingestion.

We're looking for someone with





✔ Strong SQL and experience with ClickHouse or another columnar OLAP database

✔ Deep understanding of dimensional modeling, star/snowflake schemas, and query optimization

✔ Experience integrating LLMs into analytics products

✔ Knowledge of prompt engineering, function/tool calling, semantic modeling, and reducing hallucinations

✔ TypeScript experience and familiarity with modern backend development

✔ Ability to translate business questions into scalable data models

Nice to have

➕ AWS or GCP

➕ Docker & Kubernetes

➕ Cube.js, dbt, LookML, Metabase, Superset, or Tableau

➕ Vector databases and embedding-based retrieval If you enjoy solving complex data problems and building the next generation of AI-native analytics platforms, we'd love to hear from you.?

📌 IA analytics engineer (Madrid)
🏢 HACK A BOSS
📍 Madrid