Data Engineer

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.

Results-oriented with strong technical ownership. Around3-4 yearsof experience. Relevant experience withSQL / PL-SQL Relevant experience withPython (pandas, Pyspark)andApache spark Relevant experience with ETLs & E/R models Relevant experience working with Data & Development teams Experience withAWS services(EMR, Lambdas,…) or similar Cloud Fluency in Spanish and English ?This gives extra points Basic experience with data science environments Basic experience withVector databaseand withscraping engines Work with multi-country and multi-source data. Experience working in withfinancial data

Base pay + performance bonus, private health insurance, Gympass and pension plan ? 25 days of vacation(andyour birthday off!)? Hybridmode: 2 days in office 3 days in remote? Location:Downtown Madrid (Salamanca district)? If interested, please email **? Inscribirse en esta oferta Recibir ofertas similares por correo electrónico Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies.

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. 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.