Data Engineer

About us

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.

The role

• 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.
• Learn as much as you want about the world of alternative investment

What we’re looking for

• Results-oriented with strong technical ownership.
• Around 3-4 years of experience.
• Relevant experience with SQL / PL-SQL
• Relevant experience with Python (pandas, Pyspark) and Apache spark
• Relevant experience with ETLs & E/R models
• 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

What we offer

• Salary from €40.000, plus a performance bonus, private health insurance, Gympass and pension plan
• 25 days of vacation (and your birthday off!)
• Hybrid mode: 2 days in office 3 days in remote
• Location: Downtown Madrid (Salamanca district)
• If interested, please email [email protected]