mscope is a applying to Microeconomics & Finance to help institutional investors identify highly promising SMEs and accelerate their growth. Were 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.

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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 mscopes 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 complex querying and data modelling

Demonstrated experience building / integrating heterogeneous external data sources (APIs, web scraping, structured feeds) at scale

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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 team lead - hybrid (España)
🏢 mscope
📍 España