Software Engineer, Backend (BI Platform)

wolt · Londonmid

En corto

▸Desarrollas y operas servicios backend que impulsan plataformas de BI (Looker, Sigma) en Wolt y DoorDash.
▸Automatizas todo el ciclo de vida de plataformas: permisos, metadatos, migraciones, validación, sin trabajo manual.
▸Uso de herramientas de IA (LLM) en desarrollo, con los mismos estándares de fiabilidad y gobernanza que cualquier otro sistema.

Proficiency in English required (written and spoken)

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¿Qué piden?

✓3+ años de experiencia en ingeniería de software backend, plataformas o infraestructura en producción.
✓Código legible, mantenible y bien probado en Python.
✓Experiencia en construir y operar APIs, integraciones o automatizaciones en producción.
✓Conocimiento práctico de modelos de datos y warehouses.
✓Capacidad para diseñar soluciones con enfoque en UX para desarrolladores.
✓Compromiso con altos estándares de calidad en diseño, pruebas, CI/CD y documentación.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonSQLLookerSigmaWarehousesIdentity ProvidersOrchestrationCI/CDInternal Developer ToolingLLM-backed capabilities

¿A quién escribirle en wolt?

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About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Team The Core BI team at DoorDash 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 building on the platform We’re excited about you because… • 3+ years of professional software engineering experience building and operating production backend, platform or infrastructure systems • Readable, maintainable, well-tested code in Python, plus comfort with SQL and a working understanding of data modelling and warehousing concepts • Experience building and owning APIs, integrations or automation in production, with sound

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