We need a Staff Data Engineer to join our mission and help us build a global platform that’s scalable, reliable and secure. We’re working on lots of algorithmical challenges, and you’ll dive right into projects on data collection/gathering, processing, and evaluation.
The team you will be joining: Servicing Data Engineering
Servicing Data Engineering is a platform team that enables data practitioners to explore new risk assessments fast, and productionise them with reliable, scalable and observable data pipelines. We are building Wise’s in-house Feature Platform to serve as source-of-truth for ML and rule-based risk assessments (and beyond) in an otherwise scattered data ecosystem.
As a Staff Data Engineer, your job will be to provide technical leadership and guidance to Wise’s data engineering community, take ownership of difficult technical problems rather than individual pipelines and drive related conversations across the tribe. In order to succeed, you’ll need to be able to drive the vision for data engineering through documents and conversations, get buy-in from stakeholders and leadership, communicate well in different levels of complexity and create and review pull requests.
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