Madrid
🚀 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) for app environment. 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 an experienced 𝗧𝗲𝗰𝗵 𝗟𝗲𝗮𝗱 to own and drive our 𝗥𝗮𝗱𝗮𝗿 𝗦𝗾𝘂𝗮𝗱, 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. 🛠️ 𝗪𝗵𝗮𝘁 𝘄𝗲 𝗼𝗳𝗳𝗲𝗿 • 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝗱 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗱𝗮𝘁𝗮 𝗶𝗻𝗴𝗲𝘀𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 on AWS (Glue, Step Functions, Lambda, S3, Athena, EventBridge) to capture, normalise, and enrich quantitative and qualitative external signals in near real-time 🏗️, • 𝗟𝗲𝗮𝗱 𝗮 𝗰𝗿𝗼𝘀𝘀-𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝘁𝗲𝗮𝗺 𝗼𝗳 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 𝗮𝗻𝗱 𝗮 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁, 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 👥, • 𝗗𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝗼𝗽𝘁𝗶𝗺𝗶𝘀𝗲 𝗶𝗺𝗽𝗮𝗰𝘁 𝗾𝘂𝗮𝗻𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗺𝗼𝗱𝗲𝗹𝘀 that link external signals (SMI, energy prices, interest rates, raw materials) to company-level exposure using mscope's 550+ microsector taxonomy and financial data 📊, • 𝗢𝘄𝗻 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘆 𝗹𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲 𝗼𝗳 𝗥𝗮𝗱𝗮𝗿 𝗼𝘂𝘁𝗽𝘂𝘁𝘀: SFTP/S3 data feeds, API services, and the native integration module within our Intelligence front-end 📡, • 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗲 𝗰𝗹𝗼𝘀𝗲𝗹𝘆 𝘄𝗶𝘁𝗵 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗮𝗻𝗱 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘁𝗲𝗮𝗺𝘀 to identify high-value signal types, prioritise the signal roadmap, and translate complex financial domain requirements into robust technical solutions 🤝 🎯 𝗪𝗵𝗮𝘁 𝘄𝗲'𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 • Strong quantitative and analytical mindset with a hands-on, proactive engineering attitudeAt least 𝟱 𝘆𝗲𝗮𝗿𝘀 of experience in data-intensive roles (Data Engineering, Analytics, or Data Science), with at least 𝟮 𝘆𝗲𝗮𝗿𝘀 leading or coordinating technical teams, • Solid experience designing and operating 𝗔𝗪𝗦 𝗰𝗹𝗼𝘂𝗱 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀 for data workloads (S3, Glue, Lambda, Step Functions, Athena, RDS, EventBridge), • Expert knowledge of 𝗣𝘆𝘁𝗵𝗼𝗻 for data engineering and analytical applications; 𝗦𝗤𝗟 proficiency for complex querying and data modelling, • Demonstrated experience building 𝗘𝗧𝗟/𝗘𝗟𝗧 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 integrating heterogeneous external data sources (APIs, web scraping, structured feeds) at scale, • 𝗙𝗹𝘂𝗲𝗻𝗰𝘆 𝗶𝗻 𝗦𝗽𝗮𝗻𝗶𝘀𝗵 𝗮𝗻𝗱 𝗘𝗻𝗴𝗹𝗶𝘀𝗵 ⭐ 𝗧𝗵𝗶𝘀 𝗴𝗶𝘃𝗲𝘀 𝗲𝘅𝘁𝗿𝗮 𝗽𝗼𝗶𝗻𝘁𝘀 • Background in 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝘀, 𝗣𝗵𝘆𝘀𝗶𝗰𝘀, 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀, 𝗘𝗰𝗼𝗻𝗼𝗺𝗶𝗰𝘀 or other quantitative disciplines, • Hands-on experience with event-driven architectures and real-time data processing (𝗞𝗶𝗻𝗲𝘀𝗶𝘀, 𝗞𝗮𝗳𝗸𝗮…), • Experience with 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 (PySpark, Glue) and distributed data processing, • Relevant experience with CI/CD pipelines, infrastructure-as-code (𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺/𝗖𝗗𝗞), and container environments (𝗗𝗼𝗰𝗸𝗲𝗿, 𝗘𝗖𝗦), • Experience in 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀, 𝗰𝗿𝗲𝗱𝗶𝘁 𝗿𝗶𝘀𝗸, or macroeconomic analysis, • Previous experience in a startup or fast-paced environment where ownership and autonomy are key 🎁 𝗖𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝘀 • 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 you are interested, please email 𝗰𝗹𝗮𝘂𝗱𝗶𝗮.𝗲𝘀𝘁𝗲𝗯𝗮𝗻@𝗺𝘀𝗰𝗼𝗽𝗲.𝘁𝗲𝗰𝗵 📩
58 Calle de Cea Bermúdez, Chamberí, 28003, Madrid
