Data Engineer
Summary
Senior Data Engineer at mscope, a fast-growing fintech using AI for institutional investment analysis. The role builds the data foundations of a new product: scalable ETL pipelines, analytical data models, datasets for ML/LLM/RAG, and DataOps on an AWS stack (Glue, PySpark, EMR, Bedrock).
🚀 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
- Base pay + 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 claudia.esteban@mscope.tech