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WiseSenior Data Engineer I - Global KYC & Onboarding
Wise is looking for a Senior Data Engineer I to join the Global KYC and Onboarding squad within its FinCrime organisation in London. This full-time, on-site…
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About This Role
Wise is looking for a Senior Data Engineer I to join the Global KYC and Onboarding squad within its FinCrime organisation in London. This full-time, on-site role focuses on modernising verification data infrastructure across personal, business, and platform onboarding verticals. The successful candidate will connect core engineering microservices with analytics and machine learning teams by turning high-volume event data into auditable, clean analytical models. This position requires an individual who…
Job Description
Wise is looking for a Senior Data Engineer I to join the Global KYC and Onboarding squad within its FinCrime organisation in London. This full-time, on-site role focuses on modernising verification data infrastructure across personal, business, and platform onboarding verticals. The successful candidate will connect core engineering microservices with analytics and machine learning teams by turning high-volume event data into auditable, clean analytical models.
This position requires an individual who can build automated data pipelines, improve system performance, and establish shared data contracts alongside software engineers and product analysts. The role suits a professional with strong software engineering fundamentals who is comfortable managing complex event data and taking unstructured problems through to production deployment.
Responsibilities
- Design and maintain ETL and ELT pipelines to ingest event-driven data from verification services
- Map complex transactional events into business-accurate data models for onboarding funnels and conversion metrics
- Collaborate with software engineering to replace legacy verification infrastructure with scalable data flows
- Ensure that onboarding flows and FinCrime controls remain measurable, transparent, and auditable for regulatory compliance
- Translate raw system inputs into clean, aggregated data models for product analysts and data scientists
- Build and standardise production pipelines in Python and Airflow
- Optimise data-intensive workflows and queries to resolve latency bottlenecks
- Partner with engineering, analytics, and compliance to define shared data contracts and automated testing frameworks
Requirements
- Strong Python software engineering fundamentals for writing maintainable code and optimising data-intensive tasks
- Extensive experience with advanced SQL and designing normalised and dimensional data models
- Proven track record of building, scheduling, and monitoring production pipelines using Apache Airflow
- Experience handling high-throughput event data with an understanding of analytical databases and storage formats
- Ability to work autonomously from raw concept through to production implementation
- Effective cross-functional communication skills to collaborate with software engineers, data scientists, and analysts
Qualifications
- Hands-on experience with dbt
- Familiarity with distributed compute and storage platforms such as Kafka, Spark, Snowflake, or Presto and Trino
- Background in product-led SaaS, fintech, or high-growth tech environments
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location and work arrangement for this role?
The position is based in London and is on-site.
What employment type is this job?
This is a full-time position.
What is the salary for this position?
The posting does not specify the salary.
Is prior financial crime or KYC experience required?
No, prior FinCrime or KYC experience is not required.
Sample Interview Questions
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