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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Data Engineer

Requirements

  • Lead data engineering pipeline related to onboarding/KYC/FinCrime domain
  • Establish best practices around data modelling, testing, monitoring, and deployment
  • Define and own analytics infrastructure roadmap
  • Evangelize and lead adoption of modern tooling
  • Drive implementation of best practices in data-pipeline instrumentation

What You'll Be Doing

  • Lead data engineering pipeline related to the onboarding/KYC/FinCrime domain
  • Define and own the analytics infrastructure roadmap for the Global KYC & Onboarding squad
  • Build and maintain core datasets focused on KYC onboarding events
  • Evangelize and lead adoption of modern tooling (e.g., dbt, Airflow, Snowflake, Python, Looker/Superset)
  • Translate complex data into clear, actionable narratives for key stakeholders
  • Partner with cross-functional teams to identify new data sources and deliver measurable business impact

Perks and Benefits

  • Partner closely with product, compliance, analytics, and operations teams
  • Enable safe growth through data-led insights and proactive controls
AI Summary ✨
Wise logo

Wise

Greater London, UK

Experience: Senior
Posted: July 28, 2026
Last seen: 8 minutes ago
Python
dataengineering

Why we track Wise

Wise (formerly TransferWise) is a London-based fintech that built international money transfers from scratch. They have major engineering hubs in Tallinn, London, and Budapest. The engineering challenges around real-time payments, compliance, and multi-currency infrastructure are technically deep.

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