Data Engineer

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.Data Ops 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.xohynlmRelevant experience with SQL / PL-SQLRelevant experience with Python (pandas, Pyspark) and Apache sparkRelevant experience with ETLs & E/R modelsRelevant experience working with Data & Development teamsExperience with AWS services (EMR, Lambdas,…) or similar CloudFluency in Spanish and English This gives extra points Basic experience with data science environmentsBasic experience with Vector database and with scraping enginesWork with multi-country and multi-source data.Experience working in with financial data What we offer Base pay +, private health insurance, Gympass and pension plan25 days of vacation (and your birthday off!)Hybrid mode: 2 days in office 3 days in remoteLocation: Downtown Madrid (Salamanca district)If interested, please email

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.Data Ops 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. xohynlmRelevant experience with SQL / PL-SQLRelevant experience with Python (pandas, Pyspark) and Apache sparkRelevant experience with ETLs & E/R modelsRelevant experience working with Data & Development teamsExperience with AWS services (EMR, Lambdas,…) or similar CloudFluency in Spanish and English This gives extra points Basic experience with data science environmentsBasic experience with Vector database and with scraping enginesWork with multi-country and multi-source data.Experience working in with financial data What we offer Base pay +, private health insurance, Gympass and pension plan25 days of vacation (and your birthday off!)Hybrid mode: 2 days in office 3 days in remoteLocation: Downtown Madrid (Salamanca district)If interested, please email

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.