Las cualificaciones, habilidades y toda la experiencia relevante necesaria para este puesto se pueden encontrar en la descripción completa a continuación.
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-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
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📌 Data Engineer Con Spark/Scala (Madrid)
🏢 mscope
📍 Madrid