The real challenge is execution: delivering fast without compromising quality. 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
SFTP/S3 data feeds, API services, and the native integration module within our Intelligence front-end
What we're looking for Solid experience designing and operating AWS cloud architectures for data workloads (S3, Glue, Lambda, Step Functions, Athena, RDS, EventBridge)
This gives extra points Background in Mathematics, Physics, Statistics, Economics or other quantitative disciplines
Experience with Big Data frameworks (PySpark, Glue) and distributed data processing
Experience in Financial Services, credit risk, or macroeconomic analysis
tech
📌 Technical Team Lead- Java (Madrid)
🏢 mscope
📍 Madrid