The real challenge is execution: delivering fast without compromising quality.
If you're motivated by building Mission-zxk??
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 ******
#J-*****-Ljbffr

📌 Tech Lead (Madrid)
🏢 mscope
📍 Madrid