Data Engineer
Summary
Data Engineer laying the data foundations for a new product at mscope, a fintech helping institutional investors find promising SMEs. Day to day: building scalable ETL pipelines, analytical data models for KPIs, and AI-ready datasets (ML/LLM/RAG) using SQL, Python/PySpark, Apache Spark and AWS (Glue, EMR, Lambda), in a hybrid setup from downtown Madrid.
About us
mscope is a applying 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 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
- Base 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 remote
- Location: Downtown Madrid (Salamanca district)
- If interested, please email claudia.esteban@mscope.tech