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Software Engineer, Backend (BI Platform)

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EMP:Technology
London - The River Building HQ
Tiempo Completo
Remoto
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Descripción

Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do.

Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day.

From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale.

We’re looking for a Software Engineer, Backend to join our London team.

This role is based in our London office with a hybrid setup, typically 3 days in the office.

Get to know our Engineering team — what drives us, how we work, and what you can expect.

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the TeamThe Core BI team builds and operates the services, integrations and automation that power business intelligence across DoorDash, Deliveroo and Wolt

Our platforms help analysts, Analytics Engineers, Data Scientists, Software Engineers and business teams discover trusted data and make informed decisions at scale.

We combine software engineering, platform ownership, and a strong user focus to make BI tooling reliable, secure, scalable and self-service.

The team supports the current BI ecosystem while helping shape a more integrated experience across the DoorDash group.

About the RoleAs a Software Engineer on the Core BI team, you will build and operate the backend services, APIs and infrastructure our BI platforms run on.

This is a hands-on software and platform engineering role: services and integrations, identity and access automation, observability, reliability and developer experience.

BI is the domain you serve (primarily Looker and Sigma, and the systems around them), but the problems are backend and platform problems.

You will own problems from discovery through design, implementation, deployment, and operational support.

You will work closely with Data Engineers, Analytics Engineers, Data Scientists, Software Engineers, Product.

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