๐ About us
mscope is a ๐ณ๐ฎ๐๐ ๐ด๐ฟ๐ผ๐๐ถ๐ป๐ด ๐ณ๐ถ๐ป๐๐ฒ๐ฐ๐ต applying ๐ฝ๐ฟ๐ผ๐ฝ๐ฟ๐ถ๐ฒ๐๐ฎ๐ฟ๐ ๐๐ to Microeconomics & Finance to help institutional investors identify highly promising SMEs and accelerate their growth. We're an ambitious, talented & international team of ๐ฏ๐ฌ+ 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 ๐ฑ๐ถ๐๐ฟ๐๐ฝ๐๐ถ๐๐ฒ ๐ฆ๐ฎ๐ฎ๐ฆ ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ 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 ๐๐น๐ฎ๐๐ฑ๐ฒ ๐๐ผ๐ฑ๐ฒ, modern stack (Spring Boot, React-Redux).
The real challenge is execution: delivering fast without compromising quality. If you're motivated by building ๐บ๐ถ๐๐๐ถ๐ผ๐ป-๐ฐ๐ฟ๐ถ๐๐ถ๐ฐ๐ฎ๐น ๐ถ๐ป๐ณ๐ฟ๐ฎ๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ that impacts ๐บ๐ถ๐น๐น๐ถ๐ผ๐ป-๐ฑ๐ผ๐น๐น๐ฎ๐ฟ ๐ฑ๐ฒ๐ฐ๐ถ๐๐ถ๐ผ๐ป๐, this is your place.
We are looking for a ๐ฆ๐ฒ๐ป๐ถ๐ผ๐ฟ ๐๐ฎ๐๐ฎ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ to lay the data foundations of a brand new product we are currently building.
๐ ๏ธ The role
- Build data pipelines: integrate diverse sources (HTML, CSV, relational databases, embeddings) using scalable ETLs. ๐
- Modeling and optimization: design analytical models to generate KPIs and efficiently manage large data volumes. ๐
- Enable AI: prepare datasets for ML, LLMs, and RAG systems, integrating AI for natural language queries. ๐ค
- DataOps and scalability: apply CI/CD, continuous monitoring, and optimize infrastructure.โ๏ธ
- Learn as much as you want about the world of alternative investment ๐
๐ฏ 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,โฆ) or similar Cloud
- Fluency in Spanish and English
โญ 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
๐ What we offer
- Base pay + ๐ฝ๐ฒ๐ฟ๐ณ๐ผ๐ฟ๐บ๐ฎ๐ป๐ฐ๐ฒ ๐ฏ๐ผ๐ป๐๐, private health insurance, Gympass and pension plan ๐ฐ
- 25 days of vacation (and your birthday off!)๐ด
- Hybrid mode: 2 days in office 3 days in remote๐
- Location: Downtown Madrid (Salamanca district)๐
- If interested, please email [email protected]๐ฉ