mscope is aDescubra más sobre las tareas diarias, las responsabilidades generales y la experiencia requerida para esta posibilidad desplazándose hacia abajo ahora.applyingto 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 ofusing 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 you're motivated by building -that impacts - , this is your place.We are looking for an experiencedto own and drive our, responsible for building and operating the signal detection and impact quantification engine behind mscope's 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.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 productionthat 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-endto 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 attitudeAt leastof experience in data-intensive roles (Data Engineering, Analytics, or Data Science), with at leastleading or coordinating technical teamsSolid experience designing and operatingfor data workloads (S3, Glue, Lambda, Step Functions, Athena, RDS, EventBridge)Expert knowledge offor data engineering and analytical applications;proficiency for complex querying xsgfvud and data modellingDemonstrated experience building /integrating heterogeneous external data sources (APIs, web scraping, structured feeds) at scaleBackground in , , ,or other quantitative disciplinesHands-on experience with event-driven architectures and real-time data processing (, …)Experience with(PySpark, Glue) and distributed data processingRelevant experience with CI/CD pipelines, infrastructure-as-code (/), and container environments (, )Experience in,, or macroeconomic analysisPrevious experience in a startup or fast-paced environment where ownership and autonomy are keyBase pay +, private health insurance, Gympass and pension plan(and your!)mode: 2 days in office 3 days in remoteLocation:( )If you are interested, please email .@.

📌 Tech Lead (Madrid)
🏢 mscope
📍 Madrid