About us La siguiente información ofrece un resumen de las habilidades, cualidades y cualificaciones necesarias para este puesto.

mscope is a applying to Microeconomics & Finance to help institutional investors identify highly promising SMEs and accelerate their growth. 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. If you're motivated by building -

that impacts - , this is your place.

We are looking for a to lay the data foundations of a brand new product we are currently building.

The role

Build data pipelines

integrate diverse sources (HTML, CSV, relational databases, embeddings) using scalable ETLs.

Modeling and optimization

design analytical models to generate KPIs and efficiently manage large data volumes.

Enable AI

prepare datasets for ML, LLMs, and RAG systems,



integrating AI for natural language queries.

DataOps and scalability

apply CI/CD, continuous monitoring, and optimize infrastructure.

Learn as much as you want about the world of alternative investment

What we're looking for

Results-oriented with strong technical ownership.

Around

3-4 years of experience. xsgfvud

Relevant experience with

SQL / PL-SQL

Relevant experience with

Python (pandas, Pyspark)

and

Apache spark

Relevant experience with ETLs & E/R models

Relevant experience working with Data & Development teams

Experience with

AWS services

(EMR, Lambdas,...) or similar Cloud

Fluency in Spanish and English

This gives extra points

Basic experience with data science environments

Basic experience with

Vector database and with scraping engines

Work with multi-country and multi-source data.

Experience working in with financial data

What we offer

Base pay +

, private health insurance, Gympass and pension plan

25 days of vacation

(and your birthday off!)

Hybrid mode: 2 days in office 3 days in remote

Location

Downtown Madrid (Salamanca district)

If interested, please email

📌 Data Engineer (Madrid)
🏢 mscope
📍 Madrid