We're an ambitious, talented & international team of 30+ eager to build high-quality solutions with real impact on the economy & society.

Compruebe a continuación si tiene lo necesario para esta posibilidad y, si es así, envíe su solicitud lo antes posible.

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. We are looking for a Senior Data Engineer 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. xugodme

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 + performance bonus, private health insurance, Gympass and pension plan

~Hybrid mode: 2 days in office 3 days in remote

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📌 Senior Engineer, Data Engineering (Madrid)
🏢 mscope
📍 Madrid