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🌔 About the Opportunity
Our engineering discipline builds the technology that enables MoonPay to learn quickly and scale easily. We organize in small cross-functional squads of 4-6 engineers and an embedded Product Manager and Product Data Analyst. We currently have squads across Crypto / NFT / Payments / FinCrime / KYC / Core Product and others. For this role, the initial focus will be on working on our FinCrime products, while mastering other product areas to then spearhead ML and AI adoption in the company.
🚀 What you will do
Our engineering discipline builds the technology that enables MoonPay to learn quickly and scale easily. We organize in small cross-functional squads of 4-6 engineers and an embedded Product Manager and Product Data Analyst. We currently have squads across Crypto / NFT / Payments / FinCrime / KYC / Core Product and others. For this role, the initial focus will be on working on our FinCrime products, while mastering other product areas to then spearhead ML and AI adoption in the company.
🚀 What you will do
- Build and integrate data pipelines for ingesting data, processing and serving features in real-time in a high throughput/low latency environment
- Support multiple data models that serve critical data for FinCrime products (ML models, risk engine, etc.)
- Own our Feature Store development, expanding our feature engineering capabilities for stateless and stateful data for both offline and online serving
- Enhance our monitoring capabilities, adding new data alerts for drift, anomalies, latency, etc
- Analyze large datasets using SQL, Apache Beam and Polars to surface features
- Help build AI-powered automation tools or pipelines and propose improvements across the company
- Maintain and improve our existing codebase, expanding our internal Feature Store and ML libraries and pipelines
- Apache Beam
- Dataflow
- BigTable
- Redis
- BigQuery
- Python, Polars, Pandas and Numpy
- ML feature engineering for fraud prevention
- FastAPI, Docker, Kubernetes
- Kubeflow and Airflow
- Vertex AI
- Pydantic
- DataDog
- Github
- Experienced in Data Engineering at leading Fintech startups or fast growing tech companies
- Curious about Machine Learning and with strong fundamentals about data modelling for feature generation
- Experienced with some of our tech stack, or are confident you can cross train and up skill quickly
- Understand data structures, pipelines and big data processing for real-time consumption
- Real world experience working with feature stores (in-house or vendor based e.g. Tecton)
- Experienced with Cloud Native applications such as Google Cloud or similar e.g. AWS, Azure
Key Skills
Ranked by relevance
apache
cloud
ai
machine learning
data structures
product manager
cloud native
embedded
big data
kubeflow
fastapi
python
docker
pandas
sql
aws
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- Posted
- Aug 11, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Romania
- Company
- MoonPay
Industries
Transportation
Logistics
Supply Chain
Storage
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Machine Learning Engineer
2026-05-20
Full-time
Associate
Brazil
Transportation
Engineering
View Job Details
Related
Software Engineer (Backend Focus)
2026-05-27
Full-time
Mid-Senior
Australia
Information Technology & Services
Engineering
View Job Details
Related
Software Engineer
2026-05-26
Full-time
Not Applicable
Netherlands
Transportation
Engineering