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Join Deliveroo's Core BI team to build and operate backend services, APIs, and infrastructure powering business intelligence across DoorDash, Deliveroo, and Wolt. This is a hands-on software and platform engineering role focused on services, integrations, identity automation, observability, and developer experience. You'll work with Data Engineers, Analytics Engineers, Data Scientists, and business teams to turn recurring user needs into durable, self-service capabilities.
Key responsibilities include:
- Design, build, test, deploy, and operate backend services and APIs that BI platforms depend on
- Automate the platform lifecycle end-to-end (provisioning, metadata, permissions, migrations, archival, validation)
- Build integrations between BI platforms and the wider ecosystem (warehouses, identity providers, orchestration, CI/CD, internal tooling)
- Improve availability, observability, performance, scalability, and security of owned systems
- Use AI tooling as part of engineering practice and build LLM-backed capabilities where appropriate
- Raise engineering standards through service design, code review, testing, CI/CD, and documentation
The role is based in London with a hybrid setup (typically 3 days in office). You'll own problems from discovery through design, implementation, deployment, and operational support, working across a distributed, fast-paced environment.
REQUIREMENTS:
- 3+ years of professional software engineering experience building and operating production backend, platform, or infrastructure systems
- Readable, maintainable, well-tested code in Python; comfort with SQL and 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, Kubernetes, observability, debugging, and incident response; expectation to operate what you build
- Hands-on experience using AI tools (LLMs, agentic workflows, AI-assisted development) as part of engineering practice, with judgement about where they help
- End-to-end ownership of ambiguous problems, clear communication with technical and non-technical teams, comfort self-organising in fast-paced distributed environment
NICE TO HAVE:
- Experience owning or integrating with BI platforms (Looker, Sigma, or comparable tools) and familiarity with semantic layers (LookML, dbt)
- Experience automating identity and access through Okta, SCIM, or role-based access controls, or building multi-tenant platforms
- Experience shipping LLM-backed features to real users (retrieval, grounding, evaluation) or with MCP, agent frameworks, or tool-calling in production
