Descripción de la oferta
Descripción del trabajo
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 Cloud 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 attitude At 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 architecture 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, ECR)
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 distr)
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