Data Engineer

About usmscope is a fast growing fintech applying proprietary AI to Microeconomics & Finance to help institutional investors identify highly promising SMEs and accelerate their growth. We’re an ambitious, talented & international team of 30+ 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 disruptive SaaS products 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 Claude Code, modern stack (Spring Boot, React-Redux).The real challenge is execution: delivering fast without compromising quality. If you’re motivated by building mission-critical infrastructure that impacts million-dollar decisions, this is your place.We are looking for a Senior Data Engineer to lay the data foundations of a brand new product we are currently building.The roleBuild 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 investmentWhat we’re looking forResults-oriented with strong technical ownership.Around 3-4 years of experience.Relevant 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 EnglishThis gives extra pointsBasic 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 dataWhat we offerBase pay + performance bonus, 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

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

mscope is a fast growing fintech applying proprietary AI to Microeconomics & Finance to help institutional investors identify highly promising SMEs and accelerate their growth. We’re an ambitious, talented & international team of 30+ eager to build high-quality solutions with real impact on the economy & society.