Engineering Manager - Analytics Engineering at Affirm
Madrid, Community of Madrid, Spain
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Summary
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Senior
🎓
Top School
Jorge Rama is an engineering leader with 14 years' experience building data and ML platforms across fintech and insuretech, currently heading Analytics Engineering at Affirm where he drives governance, lineage, quality and cost-optimised dbt/Snowflake pipelines. He has a track record of standing up data organisations and infrastructure from scratch—scaling annotation operations, migrating monolithic AI services to resilient microservices, and establishing experimentation and feature-flagging frameworks. Comfortable both in hands-on engineering (Python, SQL, dbt, Docker, Snowflake) and executive rhythms, he has scaled teams, defined SLAs and translated regulatory/privacy requirements into operational projects. His early research in ML and contributions to projects like the Neo4j OGM reflect a strong foundation in applied graph and anomaly detection techniques that inform fraud and risk systems. Based in Madrid, he combines product-focused delivery with a penchant for measurable business impact and pragmatic governance.
14 years of coding experience
5 years of employment as a software developer
Workshop Text Searching Algorithmics, Workshop Text Searching Algorithmics at Czech Technical University in Prague
Workshop Ethical Hacking, Workshop Ethical Hacking at Budapest University of Technology and Economics
Workshop Multimodal Emotion Detection, Workshop Multimodal Emotion Detection at Delft University of Technology
Master's Degree Communications Technologies and Systems specialized on Machine Learning, Master's Degree Communications Technologies and Systems specialized on Machine Learning at Universidad Politécnica de Madrid
An Object Graph Mapper (OGM) for the Neo4j graph database.
Role in this project:
DevOps Engineer & QA Engineer
Contributions:5 commits, 7 PRs, 4 comments in 2 months
Contributions summary:Jorge's contributions primarily focus on infrastructure and testing aspects of the Neo4j OGM project. They've modified the `setup.py` file to exclude the test package. The user's commit history also includes changes to the `tests-with-docker-compose.sh` script, configuring the testing environment with Docker and Neo4j. Further contributions involve modifications to test files, indicating an effort to ensure the functionality and correctness of spatial data types.
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Jorge Rama - Engineering Manager - Analytics Engineering at Affirm