About us

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.
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 wi

📌 Data Engineer (Madrid)
🏢 mscope
📍 Madrid