CadetX
Deliveroo logo
Deliveroo•Data EngineeringGraduateOn-site

Analytics Engineer – BI Platform

London, United Kingdom - DeliverooCompetitive • Active Opening
APPLY ON OFFICIAL SITE

Verified opening from Deliveroo's official portal

Role Description & Responsibilities

Data Engineering

About Deliveroo

Deliveroo is a high-growth technology leader building scalable solutions for global users. Millions of companies and teams rely on their infrastructure and services to execute high-value workflows, analyze massive datasets, and scale modern operations.

CadetX Candidate Advantage: As an applicant for this Data Engineering role, you are evaluated on practical proficiency with real-world query execution, data pipelines, and clear stakeholder communication.

CadetX Role Brief & Company Specifications

Role Mission & Impact

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.

Key Responsibilities & Day-to-Day Scope

  • ✓ Own and evolve the semantic layer behind our BI platforms: LookML and Canvas BI models, metric and dimension definitions, and the governance that keeps them trusted
  • ✓ Build and operate the Looker and Sigma platforms themselves: instance and workspace configuration, permissions and user attributes, content lifecycle, and API-driven automation
  • ✓ Lead the development of self-serve tooling that removes manual BI administration, using usage analytics to decide what to automate, build or retire next
  • ✓ Support BI platform migrations and deprecations across DoorDash, Deliveroo and Wolt while protecting access, governance, data integrity and business continuity
  • ✓ Take part in operational support, production debugging and incident response for the BI stack, and fix the root causes you find
  • ✓ Champion engineering standards in BI, including version control, code review, CI and testing for models and platform code, so changes ship safely and repeatably

Official Qualifications & Technical Requirements

  • • 3+ years of experience in business intelligence engineering, analytics engineering, data engineering, or a similar code-first data role
  • • Strong Python and SQL skills, and hands-on experience using AI tools (LLMs, agentic workflows, AI-assisted development) to accelerate your own engineering work
  • • Hands-on experience building in a BI platform such as Looker (LookML) or Sigma, modelling and configuring it, not only building dashboards in it
  • • Experience with semantic or metrics layers (LookML, dbt or similar): defining metrics and dimensions, and keeping those definitions consistent as they are reused
  • • Experience running what you build in production: version control, code review, CI, debugging live issues and taking part in operational support

Preferred Skills & Technology Stack

  • + Experience with big data tools (Apache Spark, Kafka, Flink) and cloud platforms (AWS, Azure, GCP).
  • + Familiarity with dbt (data build tool) for SQL transformations.
  • + Hands-on experience with Docker and Linux system administration.

Tech Stack & Tools in this role

Expected technical competencies for Day 1 productivity:

ETL / ELT PipelinesSQL Data WarehousesApache Spark / DatabricksAirflow & Orchestration

★ Life & Culture at Deliveroo

Verified Employer

Deliveroo champions rigorous analytical discipline, continuous learning, and low-ego teamwork. Team members enjoy flexible hybrid allowances, learning stipends, and structured mentorship to fast-track career mobility.