Hybrid Senior Data Engineer, Machine Learning

Posted last month

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About the role

  • 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

Requirements

  • 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
  • Familiarity with: Apache Beam, Dataflow, BigTable, Redis, BigQuery, Python, Polars, Pandas, Numpy, FastAPI, Docker, Kubernetes, Kubeflow, Airflow, Vertex AI, Pydantic, DataDog, Github

Benefits

  • 💰Competitive salary package
  • 🤝 Equity package: We believe financial freedom starts with our employees, so all employees have ownership at MoonPay
  • 📈 Pay for performance equity bonus: Those who drive outsized outcomes receive outsized rewards
  • 🏝 Unlimited holidays: We give you the autonomy to choose when to work (and when to switch off)
  • 🌍 Hybrid working schedule: Work fully remotely or your nearest Moonbase, the choice is yours
  • 🩺 Private Healthcare benefits: To protect you and your loved ones
  • 🍼 Enhanced parental leave: So you can spend more time with your loved ones without a second thought
  • 📚 Annual training budget: We support your training journey every step of the way
  • 🪑 Home office setup allowance: Create the home office of your dreams
  • 👛 Remote working allowance: Those working fully remotely get a little extra for utilities
  • 💰 Monthly budget to spend on our products and zero fee crypto transactions: Cultivate your inner DEGEN
  • 💰 Employee referral programme: Great people know great people, refer them to receive 10K in USDC
  • ✈️ Regular remote company offsites: Meet your colleagues regularly for high impact in person sessions and hackathons
  • 🚀 Working in a disruptive and fast-growing company where excellence is rewarded

Job title

Senior Data Engineer, Machine Learning

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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