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. We are looking for a 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.
Modeling and optimization:



design analytical models to generate KPIs and efficiently manage large data volumes.
DataOps and scalability: apply CI/CD, continuous monitoring, and optimize infrastructure.⚙️
Relevant experience with SQL / PL-SQL
Relevant experience with Python (pandas, Pyspark) and Apache spark
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

Base pay + , private health insurance, Gympass and pension plan
~Hybrid mode: 2 days in office 3 days in remote
~

📌 Senior Engineer, Data Engineering (Madrid)
🏢 mscope
📍 Madrid