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. If youre motivated by building - that impacts - , this is your place.

We are looking for an experienced to own and drive our , responsible for building and operating the signal detection and impact quantification engine behind mscopes intelligence. 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, Event Bridge) 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
- to identify high-value signal types, prioritise the signal roadmap, and translate complex financial domain requirements into robust technical solutions

- Strong quantitative and analytical mindset with a hands-on, proactive engineering attitude At 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, Event Bridge)
- 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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- Background in , , , or other quantitative disciplines
- Hands-on experience with event-driven architectures and real-time data processing (, …)
- Experience with (PySpark, Glue) and distributed data processing
- Relevant experience with CI/CD pipelines, infrastructure-as-code (/), and container environments (, )
- Experience in , , or macroeconomic analysis
- Previous experience in a startup or fast-paced environment where ownership and autonomy are key

- Base pay + , private health insurance, Gympass and pension plan
- (and your !)
- mode: 2 days in office 3 days in remote
- Location: ( )
- If you are interested, please email .@.

📌 Tech Lead (España)
🏢 MindMatch
📍 España