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) for app environment.

The real challenge is execution: delivering fast without compromising quality. This squad monitors external signals — from minimum wage changes and commodity prices to M&A; activity and regulatory shifts — and cross-references them automatically with our proprietary microsector intelligence to produce company-level impact assessments across multiple markets. ~ on AWS (Glue, Step Functions, Lambda, S3, Athena, EventBridge) to capture, normalise, and enrich quantitative and qualitative external signals in near real-time ~-, mentoring them on architecture decisions, data quality practices, best practices across the squad: testing, validation, orchestration, observability, CI/CD,



documentation and the integration of analytical models into production ~ that link external signals (SMI, energy prices, interest rates, raw materials) to company-level exposure using mscope's 550+ microsector taxonomy and financial data ~ : SFTP/S3 data feeds, API services, and the native integration module within our Intelligence front-end ~ Strong quantitative and analytical mindset with a hands-on, proactive engineering attitudeAt least of experience in data-intensive roles (Data Engineering, Analytics, or Data Science), with at least leading or coordinating technical teams ~ Solid experience designing and operating for data workloads (S3, Glue, Lambda, Step Functions, Athena, RDS, EventBridge) ~ Expert knowledge of for data engineering and analytical applications; proficiency for complexquerying and data modelling ~ Demonstrated experience building / integrating heterogeneous external data sources (APIs, web scraping, structured feeds) at scale ~ Hands-on experience with event-driven architectures and real-time data processing (, ...) ~ Experience with (PySpark, Glue) and distributed data processing ~ Experience in, , or macroeconomic analysis ~ Base pay +, private health insurance, Gympass and pension plan ~(mode: 2 days in office 3 days in remote ~

📌 Technical Service Team lead (Bilbao)
🏢 mscope
📍 Bilbao