Senior Engineer, Data Engineering

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-SQLRelevant experience with Python (pandas, Pyspark) and Apache sparkRelevant experience working with Data & Development teamsExperience with AWS services (EMR, Lambdas,…) or similar CloudFluency in Spanish and English? This 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 dataBase pay + , private health insurance, Gympass and pension plan~Hybrid mode: 2 days in office 3 days in remote~

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