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
📌 Data Engineer (Madrid)
🏢 mscope
📍 Madrid