Tech Lead

Mscope; Lugo; Híbrido; EUR 50.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private health insurance

Gympass

Pension plan

Descripción de la vacante

mscope is seeking an experienced data-focused engineer to own and drive our signal detection and impact quantification engine. You will oversee architecture decisions, data quality practices, and the integration of analytical models into production across AWS services.

The role requires strong quantitative skills, 5+ years in data-intensive roles, and experience with PySpark and real-time processing. Hybrid work setup in Galicia, Spain, with international collaboration and a fast-paced startup

Formación

• Strong quantitative and analytical mindset with hands-on engineering attitude.
• 5+ years in data engineering, analytics, or data science.
• Experience designing data workloads and pipelines using cloud services.

Responsabilidades

• Own and operate the signal detection and impact quantification engine.
• Mentor team on architecture decisions, data quality, and CI/CD practices.
• Translate complex financial domain needs into robust data solutions.

Conocimientos

Data engineering

PySpark

Cloud AWS

Real-time processing

Educación

Bachelor's in CS/Math/EE

Herramientas

AWS Glue

Lambda

Step Functions

Descripción del empleo

mscope is a applying to 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 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 you're 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 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 production that 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-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 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 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 .@.