About us
mscope is a applying to Microeconomics & Finance to help institutional investors identify highly promising SMEs and accelerate their growth. Were 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 youre 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 were 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 with financial data
What we offer
Base pay
📌 Data Engineer (Bilbao)
🏢 mscope
📍 Bilbao