The real challenge is execution: delivering fast without compromising quality. If you're motivated by building ???????-?????
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
- 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




- 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

Conditions
- 25 days of vacation (and your birthday off)
- Location: DownTown Madrid (Salamanca district)
- If you are interested, please email [email protected]

📌 Tech Lead (Madrid)
🏢 mscope
📍 Madrid