Data Engineer

Requirements

• Proficiency in modern data engineering practices and technologies, including Prefect/Airflow, Python, dbt, Kubernetes, Kafka or similar
• Experience with Infrastructure as Code (IaC) and cloud-based services e.g deploying infrastructure on AWS using Terraform
• A deep understanding of data pipelines, orchestration, and data modelling practices
• A collaborative, cross-functional approach to problem-solving and system design

What You'll Be Doing

• Design, build, and maintain robust data platform components, including pipelines, orchestration, and modelling frameworks
• Develop automation and tooling that improve efficiency, scalability, and data quality across the analytics stack
• Enhance and support platform reliability and observability, participating in on-call rotations and proactive issue resolution
• Support and optimise governance and metadata systems to improve discoverability, trust, and compliance across data assets
• Partner with analysts, analytics engineers, and data scientists to understand user needs and deliver impactful platform solutions
• Contribute to the wider engineering community through design reviews, code reviews, documentation, and knowledge sharing, collaborating globally with teams across Deliveroo, DoorDash, and Wolt to define shared data standards and evolve our platform architecture

Perks and Benefits

• Healthcare benefits
• Well-being support
• Parental leave
• Pensions
• Generous annual leave allowances
• Time off to support a charitable cause
• Diversity and inclusion initiatives