# Software Engineer, Backend (BI Platform) **Company:** [Deliveroo](https://scaleengineer.com/companies/deliveroo) Join Deliveroo's Core BI team as a Software Engineer, Backend to design, build, and operate mission-critical backend services and APIs that power business intelligence platforms across the DoorDash group. This hands-on platform engineering role focuses on building resilient, scalable infrastructure for Looker, Sigma, and associated ecosystem integrations, requiring 3+ years of backend systems experience with Python, SQL, Kubernetes, and strong ownership of production services. You'll tackle complex problems spanning service design, identity automation, observability, and AI-backed capabilities while collaborating with data engineers, analysts, and cross-functional teams in London. **Role:** Backend Engineer **Seniority:** Mid **Locations:** London - The River Building HQ **Salary:** 95000–155000 GBP [Apply](https://jobs.ashbyhq.com/deliveroo/5bf2c59d-84bd-4d41-a156-99bfc803d6a7) Canonical: https://scaleengineer.com/jobs/deliveroo/software-engineer-backend-bi-platform --- ## Responsibilities - Design, Build and Deploy Backend Services: Design, build, test, deploy and operate backend services, APIs and automation that BI platforms across DoorDash, Deliveroo and Wolt depend on, ensuring production reliability and performance at scale. - Platform Lifecycle Automation: Automate the complete platform lifecycle from provisioning, metadata management, permissions configuration, migrations, archival and validation to eliminate manual administrative work and improve operational efficiency. - BI Ecosystem Integrations: Build and maintain integrations between BI platforms and the broader technology ecosystem including data warehouses, identity providers, orchestration tools, CI/CD pipelines and internal developer tooling. - Systems Reliability and Observability: Improve availability, observability, performance, scalability and security of owned systems while carrying operational responsibility for production deployments and incident response. - AI Tooling and LLM Features: Evaluate and implement AI tooling as part of engineering practices, designing and shipping LLM-backed capabilities with the same reliability, governance and observability standards as core platform features. - Engineering Excellence: Raise the engineering bar across the team through service design leadership, rigorous code review, comprehensive testing practices, CI/CD optimization and documentation improvements while enhancing the developer experience for platform users. - Cross-Functional Collaboration: Work closely with Data Engineers, Analytics Engineers, Data Scientists, Product Managers and business teams to translate recurring user needs into durable, self-service platform capabilities and technical solutions. - End-to-End Problem Ownership: Own problems completely from discovery and design through implementation, deployment, operational support and ongoing maintenance, with clear communication across technical and non-technical stakeholders. ## Requirements ### education - {"name":"Computer Science or Related Field","description":"Bachelor's degree in Computer Science, Software Engineering, Mathematics, Physics or equivalent practical engineering experience and demonstrated computer science fundamentals."} ### technical - {"name":"Backend Systems and Production Code","description":"3+ years of professional software engineering experience building and operating production backend, platform or infrastructure systems with demonstrated proficiency in shipping and maintaining production services."} - {"name":"Python Proficiency","description":"Strong expertise in writing readable, maintainable, well-tested code in Python with ability to design clean APIs and production-grade services."} - {"name":"SQL and Data Warehousing","description":"Comfortable writing SQL queries and working understanding of data modelling concepts, warehouse architecture patterns, and how analytics queries perform against large datasets."} - {"name":"API and Integration Development","description":"Hands-on experience building and owning APIs, integrations or automation systems in production with sound architectural judgment on service boundaries, authentication mechanisms, data contracts and failure mode handling."} - {"name":"Container and Kubernetes Expertise","description":"Practical hands-on experience with CI/CD pipelines, Docker containers, Kubernetes orchestration and containerized application deployment patterns."} - {"name":"Observability and Debugging","description":"Deep familiarity with observability tools, distributed tracing, logging systems, metrics collection and debugging techniques in production environments."} - {"name":"Incident Response and Production Ownership","description":"Demonstrated capability in on-call rotations, incident response, root cause analysis and expectation to operate systems built and deployed."} - {"name":"AI Tools and LLM Development","description":"Hands-on experience using AI tools including Large Language Models, agentic workflows, AI-assisted development practices and sound judgment about appropriate use cases."} ### experience - {"name":"Production Backend Engineering","description":"Minimum 3 years of professional experience building, deploying and operating production backend systems, including designing services for reliability, scalability and performance."} - {"name":"API and Service Design","description":"Experience owning API design decisions including authentication patterns, rate limiting, data contracts, versioning strategies and failure mode handling in production environments."} - {"name":"Distributed Systems Operations","description":"Practical experience managing containerized deployments, Kubernetes clusters, CI/CD infrastructure and understanding distributed system failure modes and resiliency patterns."} - {"name":"Cross-Functional Ownership","description":"Track record of end-to-end ownership of ambiguous technical problems, with ability to communicate complex technical concepts to both technical and non-technical stakeholders."} - {"name":"Fast-Paced Environment Navigation","description":"Experience self-organizing and delivering in fast-paced, distributed teams with high autonomy and ability to prioritize effectively across competing technical priorities."} ## Skills ### required - {"name":"Python","description":"Production-grade backend development with emphasis on clean, maintainable, well-tested code patterns and software architecture."} - {"name":"SQL","description":"Query optimization, complex joins, window functions, performance tuning and understanding of data warehouse concepts."} - {"name":"Kubernetes and Containerization","description":"Docker container development, Kubernetes orchestration, deployment patterns and cloud-native architecture understanding."} - {"name":"API Design and Development","description":"REST or GraphQL API design, authentication/authorization implementation, data serialization and HTTP protocol expertise."} - {"name":"CI/CD and DevOps","description":"Continuous integration and deployment pipeline design, infrastructure-as-code, automated testing and deployment automation."} - {"name":"Observability and Monitoring","description":"Distributed tracing, logging aggregation, metrics collection, alerting systems and production monitoring."} - {"name":"Data Warehousing Concepts","description":"Understanding of data warehouse architecture, ETL processes, schema design patterns and how analytics queries impact warehouse performance."} - {"name":"LLM and AI Tool Usage","description":"Hands-on experience with Large Language Models, agentic frameworks, tool-calling patterns and AI-assisted development workflows."} ### preferred - {"name":"BI Platform Experience","description":"Hands-on experience owning or integrating with BI platforms such as Looker, Sigma, Tableau or comparable tools, and familiarity with semantic layer technologies like LookML or dbt."} - {"name":"Identity and Access Management","description":"Experience automating identity and access management through Okta, SCIM, SAML, role-based access controls or similar systems."} - {"name":"Multi-Tenant Platform Development","description":"Experience building or operating multi-tenant platforms serving multiple brands and regions with shared infrastructure and isolated tenancy models."} - {"name":"Production LLM Features","description":"Shipped experience with LLM-backed features to real users including retrieval augmented generation, context grounding, evaluation frameworks and tool-calling patterns."} - {"name":"Model Context Protocol","description":"Experience with MCP (Model Context Protocol), agent frameworks, agentic automation and production-grade tool integration patterns."} - {"name":"Data Platform Architecture","description":"Understanding of data platform engineering, data mesh architecture, data governance patterns and modern data stack technologies."} - {"name":"Marketplace Systems","description":"Experience building systems for multi-sided marketplaces with real-time requirements, complex business logic and high scalability demands."} ## Tech stack ### tools - {"name":"Kubernetes","description":"Container orchestration platform for deployment, scaling and management of containerized services."} - {"name":"Docker","description":"Container runtime and image building for service containerization."} - {"name":"Looker and Sigma","description":"BI and data visualization platforms that the core services support and integrate with."} - {"name":"dbt","description":"Data transformation framework for semantic layer and data modeling in modern data stacks."} - {"name":"Okta","description":"Identity and access management platform for authentication and authorization."} - {"name":"CI/CD Platforms","description":"GitHub Actions, GitLab CI, Jenkins or similar for continuous integration and deployment automation."} - {"name":"Monitoring and Observability Tools","description":"Prometheus, Grafana, DataDog, New Relic or similar for metrics, distributed tracing and production monitoring."} ### others - {"name":"LLM and AI Tools","description":"OpenAI APIs, Claude, agent frameworks and LLM-based development assistance tools."} - {"name":"API Standards","description":"REST architectural patterns, GraphQL query language, OpenAPI specifications and gRPC for service communication."} - {"name":"Cloud Infrastructure","description":"AWS, GCP or Azure cloud platforms for deploying and operating distributed backend systems."} - {"name":"Git and Version Control","description":"Git-based workflows, pull request collaboration models and source control best practices."} ### databases - {"name":"Data Warehouses","description":"Snowflake, BigQuery or similar cloud data warehouses for analytics data storage and querying."} - {"name":"PostgreSQL","description":"Relational database for operational systems and service data storage."} - {"name":"Redis","description":"In-memory data store for caching and real-time platform operations."} ### languages - {"name":"Python","description":"Primary backend development language for building BI platform services, APIs and automation infrastructure."} - {"name":"SQL","description":"Required for data warehouse interaction, query optimization and working with analytics datasets."} - {"name":"YAML","description":"Infrastructure-as-code and Kubernetes manifests configuration."} - {"name":"Bash/Shell Scripting","description":"Automation scripts, deployment scripts and operational tooling."} ### frameworks - {"name":"FastAPI or Django","description":"Modern Python frameworks for building REST APIs and web services with strong typing and async support."} - {"name":"SQLAlchemy","description":"Python ORM for database abstraction and data model management."} ## Benefits ### benefits - {"name":"Hybrid Work Arrangement","description":"Flexible hybrid working setup with typical expectation of 3 days in London office per week, providing balance between collaboration and remote flexibility."} - {"name":"Career Growth and Development","description":"Opportunity to accelerate career growth through challenging, ambiguous problems with strong organizational support, mentorship from experienced engineers and continuous learning environment."} - {"name":"High-Impact Work at Scale","description":"Work on mission-critical systems serving millions of customers, riders and partners across a global marketplace with direct visibility into business impact."} - {"name":"Low-Hierarchy Environment","description":"High-ownership, low-bureaucracy culture enabling rapid decision-making, quick iteration and direct influence on technical direction."} - {"name":"Continuous Learning Culture","description":"Access to learning resources, technical documentation, engineering blog, conference opportunities and peer knowledge sharing."} - {"name":"Diversity and Inclusion","description":"Commitment to fostering an inclusive workplace welcoming candidates from all backgrounds with accessible recruitment process and reasonable adjustments for disabilities or health conditions."} - {"name":"Global Team Collaboration","description":"Opportunity to collaborate across DoorDash, Deliveroo and Wolt teams, gaining exposure to diverse technical approaches and scaling challenges across global markets."} - {"name":"Modern Technology Stack","description":"Work with contemporary backend technologies including Kubernetes, modern Python frameworks, cloud infrastructure and cutting-edge AI/LLM tools."} ## Compensation - **max:** 155000 - **min:** 95000 - **currency:** GBP - **stockOptions:** true ## Interview process ### steps - {"name":"Initial Screening","description":"Phone or video screening with recruiter to discuss background, experience with backend systems, familiarity with BI platforms and high-level alignment with role expectations."} - {"name":"Technical Assessment","description":"Take-home or live coding exercise focused on backend system design, API development, Python proficiency and problem-solving approach for realistic platform engineering scenarios."} - {"name":"System Design Interview","description":"Collaborative discussion on designing distributed backend systems, covering scalability considerations, observability patterns, failure modes, service boundaries and architectural trade-offs relevant to BI platforms."} - {"name":"Team and Culture Fit Interview","description":"Conversation with team members about working style, collaboration across distributed teams, ownership mentality, communication with non-technical stakeholders and fit with high-autonomy culture."} ## Full description 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](https://careers.deliveroo.co.uk/software-engineering-at-deliveroo/) 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 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 judgement on service boundaries, authentication, data contracts and failure modes * Hands-on with CI/CD, containers and Kubernetes, observability, debugging and incident response, and you expect to operate what you build * Hands-on experience using AI tools (LLMs, agentic workflows, AI-assisted development) as part of how you engineer, and judgement about where they help and where they do not * End-to-end ownership of ambiguous problems, clear communication with technical and non-technical teams, and comfort self-organising in a fast-paced, distributed environment ## **Nice to Have** * Experience owning or integrating with BI platforms such as Looker, Sigma or comparable tools, and familiarity with semantic layers such as LookML or dbt * Experience automating identity and access through Okta, SCIM or role-based access controls, or building multi-tenant platforms across brands and regions * Experience shipping LLM-backed features to real users (retrieval, grounding and evaluation), or with MCP, agent frameworks or tool-calling in production ## Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 **Solve meaningful problems at real scale** Work on a complex, always-on marketplace that impacts millions every day. 🌱 **See your impact, fast** Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 **Grow through challenge and ownership** Take on big, ambiguous problems and accelerate your career with strong support. 🌎 **A culture built for builders** High standards, collaboration, flexible working and continuous learning. ➡️ Want a deeper look at how we build? Check out our [Tech Blog](https://deliveroo.engineering). We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our [Engineering Interview Guide here](https://careers.deliveroo.co.uk/interview-guide-for-engineers/) to help you feel confident at each stage. ### 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. ### Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!