We're an ambitious, talented & international team of + eager to build high-quality solutions with real impact on the economy & society.
Backed by strong investors & strategic partners across the fintech sector, we build a suite of
using cutting-edge technology: AWS cloud-first architecture, Glue + Pyspark orchestration for Big Data, multi-agent AI systems on Amazon Bedrock, AI-accelerated development with
, modern stack (Spring Boot, React-Redux).
The real challenge is execution: delivering fast without compromising quality. to lay the data foundations of a brand new product we are currently building.
Build data pipelines:
integrate diverse sources (HTML, CSV, relational databases, embeddings) using scalable ETLs.




design analytical models to generate KPIs and efficiently manage large data volumes.
apply CI/CD, continuous monitoring, and optimize infrastructure.
SQL / PL-SQL
Python (pandas, Pyspark)
Apache spark
Relevant experience working with Data & Development teams
AWS services
(EMR, Lambdas,…) or similar Cloud
Fluency in Spanish and English
This gives extra points
Basic experience with data science environments
Vector database
Work with multi-country and multi-source data.
financial data
private health insurance, Gympass and pension plan
Hybrid
mode: 2 days in office 3 days in remote

📌 Consulting Data Architect (Madrid)
🏢 mscope
📍 Madrid