Data Engineer
Summary
Data engineer in Madrid (hybrid) building the data foundations of a new fintech product that helps institutional investors identify promising SMEs. Day to day: building scalable ETL pipelines, analytical data models, and AI-ready datasets (ML/LLM/RAG) on AWS with Spark, PySpark, SQL and Python.
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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? xqbhyrx
- Location: Downtown Madrid (Salamanca district)?