Technical Service Team Lead

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.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.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 SFTP/S3 data feeds, API services, and the native integration module within our Intelligence front-end 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 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 Base pay + performance bonus, private health insurance, Gympass and pension plan ~Hybrid mode: 2 days in office 3 days in remote ~ tech

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 SFTP/S3 data feeds, API services, and the native integration module within our Intelligence front-end 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 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 Base pay + performance bonus, private health insurance, Gympass and pension plan ~Hybrid mode: 2 days in office 3 days in remote ~ tech

Arbo, Pontevedra, España

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. 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.