Senior Data Engineer - Global KYC & Onboarding

Neobankbeat

Greater London

Hybrid

GBP 110,000 - 150,000

Full time

3 days ago
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Job summary

Wise in London is seeking a Senior Data Engineer for the Global KYC & Onboarding squad to design and build data pipelines, storage infrastructure, and analytical models that power onboarding and FinCrime controls. You will connect core engineering with product analytics and transform high-volume events into reliable datasets.

You will modernise the data layer, champion robust ETL/ELT practices, and ensure observability and auditability across verification flows.

Qualifications

  • Bridge Engineering & Analytics: Translate raw system inputs into clean, aggregated data models.
  • Modernise Verification Data Architecture: Build and standardise production pipelines in Python and Airflow.
  • Improve Performance & Scale: Optimise data-intensive workflows and queries to ensure data consistency across onboarding spaces.

Responsibilities

  • Bridge Engineering & Analytics: Translate raw system inputs into clean, aggregated data models that empower Product Analysts and Data Scientists to measure KPIs, conversion funnels, and control pass rates.
  • Modernise Verification Data Architecture: Build and standardise production pipelines in Python and Airflow, replacing ad-hoc queries and fragmented scripts with robust, automated data infrastructure.
  • Improve Performance & Scale: Optimise data-intensive workflows and queries, resolving latency bottlenecks and ensuring data consistency across personal, business, and platform onboarding spaces.

Tools

Python
Airflow

Job description

Wise in London is seeking a Senior Data Engineer for the Global KYC & Onboarding squad to design and build data pipelines, storage infrastructure, and analytical models that power onboarding and FinCrime controls. You will connect core engineering with product analytics and transform high-volume events into reliable datasets.

You will modernise the data layer, champion robust ETL/ELT practices, and ensure observability and auditability across verification flows.

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