CadetX
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Deliveroo•Data EngineeringGraduateOn-site

Engineer, Accounting Data and Infrastructure Systems

London, EnglandCompetitive • Active Opening
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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

It’s an exciting time to join our rapidly growing Accounting team with ample development opportunities. We're growing the Revenue Data team with Engineering and Accounting Data openings to drive automation and systems infrastructure. All whilst while keeping pace within one of the fastest growing marketplace companies globally.

The Engineer for Accounting Infrastructure and Systems designs, builds, and maintains the scalable backend services, data pipelines, and integrations that power DoorDash / Deliveroo's accounting, reconciliation, and financial reporting workflows. Working closely with Finance, Accounting, and fellow engineers, this role translates complex financial and regulatory requirements into reliable, automated systems that ensure accuracy, auditability, and compliance at scale. The ideal candidate brings strong distributed-systems and data engineering expertise along with a solid understanding of financial processes, and takes technical ownership of critical projects while mentoring junior engineers and helping shape the team's architecture and best practices.

Key Responsibilities & Day-to-Day Scope

  • ✓ Take technical ownership of critical accounting infrastructure projects — designing and building the backend services, data pipelines, and integrations that power DoorDash's financial reporting, reconciliation, and close workflows at scale.
  • ✓ Partner directly with Finance and Accounting stakeholders to translate complex financial and regulatory requirements into reliable, auditable, and automated systems.
  • ✓ Shape the team's architecture and engineering best practices, mentoring junior engineers and raising the technical bar across the organization.
  • ✓ Drive measurable improvements in data accuracy, pipeline reliability, and system performance in a high-impact, compliance-critical environment.
  • ✓ You have 3 - 4+ years of experience in software or data engineering, with a strong track record of owning and delivering complex backend or data infrastructure projects.
  • ✓ You have deep expertise in distributed systems and data engineering, with hands-on experience in tools like Snowflake, dbt, Fivetran, or similar modern data stack technologies.
  • ✓ You can navigate the intersection of engineering and finance — understanding concepts like revenue recognition, reconciliation, and auditability well enough to build systems that meet those requirements.

Official Qualifications & Technical Requirements

  • • You have a collaborative, low-ego approach and can effectively partner with both technical and non-technical stakeholders across Finance, Accounting, and Engineering.
  • • Familiarity with SOX controls, data quality frameworks, or financial systems (e.g., NetSuite) is a strong plus.
  • • 🔧 Make a visible impact every day: Your work directly improves experiences for merchants, consumers, partners, and dashers/riders worldwide by building clean, frictionless operational workflows.
  • • 🌱 Learn fast in an entrepreneurial environment: Work close to the market with autonomy, pace, and real responsibility.
  • • 🧠 Build a career, not just a role: Stretch yourself, develop new skills, and grow as the global business evolves.
  • • 🌎 Deliver together in an inclusive culture: Collaborative, values-driven teams that support how you work best.

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.