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 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 investment
What 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 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 data What we offerBase pay +
, private health insurance, Gympass and pension plan 25 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
📌 Data Engineer (Madrid)
🏢 mscope
📍 Madrid
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