Software Engineer, Backend (BI Platform)

Deliveroo·Londonmid

In short

→Ingeniero backend que construye y opera servicios para plataformas de BI (Looker, Sigma) en un entorno global.
→Diariamente: desarrollas APIs, automatizas procesos de identidad y acceso, integras sistemas y mejoras observabilidad y confiabilidad.
→Destacado: trabajas en una plataforma que escala para Deliveroo, DoorDash y Wolt, con énfasis en automación y experiencia de desarrollador.

Necesitas fluidez en inglés para colaborar con equipos globales.

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What they ask for

✓Experiencia en desarrollo backend con Python o Go
✓Conocimiento de APIs REST y servicios distribuidos
✓Experiencia con infraestructura en la nube (AWS o GCP)
✓Capacidad de automatizar flujos de trabajo (CI/CD, provisioning)
✓Comprensión de gestión de permisos y seguridad (IAM)
✓Trabajo colaborativo con equipos de datos, producto y análisis

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonGoAWSGCPLookerSigmaREST APIsCI/CDDockerKubernetes

Who should you write to at Deliveroo?

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Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. 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. About the Team The 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 Role As 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 Managers and business teams to turn recurring user needs into durable, self-service capabilities. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you! You’re excited about this opportunity because you will… • Design, build, test, deploy and operate the backend services, APIs and automation that the BI platforms across DoorDash, Deliveroo and Wolt depend on • Automate the platform lifecycle end to end (provisioning, metadata, permissions, migrations, archival and validation) so administration stops being manual work • Build the integrations between BI platforms and the wider ecosystem: warehouses, identity providers, orchestration, CI/CD and internal developer tooling • Improve the availability, observability, performance, scalability and security of the systems you own, and carry them in production • Use AI tooling as part of how you engineer, and where it fits, build LLM-backed capabilities held to the same reliability and governance bar as anything else we ship • Raise the engineering bar on the team, from service design and code review to testing, CI/CD and documentation, and improve the developer experience for everyone build

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