Data engineer

We're a leading global online delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.

• Design, build, and maintain scalable ingestion and transformation pipelines to ensure the CDP remains the trusted source of customer data.
• Implement strong data quality checks, lineage, and governance using tools such as DataHub and Morpheus to uphold accuracy and reliability.
• Collaborate with CRM, Product, and engineering partners to integrate new events, attributes, and identifiers into the customer data ecosystem.
• Build and optimise ELT pipelines using BigQuery, dbt, Airflow, and Datadog, aiming for excellence in performance, stability, and scalability.
• Apply best practices in documentation, unit testing, and CI/CD to ensure production-ready, high-quality data assets.
• Partner with the Data Ignite team to develop datasets for activation through Hightouch, supporting CRM, Product, and Media use cases.
• Ensure Hightouch-ready tables are efficient, secure, and well-monitored, and contribute to troubleshooting and optimisation when needed.
• Support the migration to Looker by building semantic layers and standardised customer KPIs aligned with global definitions.
• Work with analysts and engineers to design scalable data models that enable self-serve dashboards and consistent reporting.
• Contribute to sprint planning, technical prioritisation, and knowledge-sharing to help the team collaborate effectively and deliver together.

• Strong SQL and dbt skills, with the ability to design clean, scalable data models that support reliable customer insights.
• Confident Python abilities for automation, orchestration, and building pipelines that help the team deliver efficiently.
• Familiarity with orchestration tools such as Airflow or Dagster, and a desire to optimise workflows for stability and speed.
• Solid understanding of data warehousing, ELT best practices, and governance concepts that ensure trust and accountability.
• Interest in customer and marketing datasets, with curiosity for how data powers segmentation, activation, and engagement.
• A sense of ownership and a proactive approach, contributing to the team’s success with a collaborative and positive mindset.
• Openness to learning Looker semantic modelling and supporting our migration from Tableau to a unified reporting platform.
• Willingness to explore tools like Hightouch or other activation platforms to understand how data drives real-time experiences.
• Curiosity for real-time data frameworks such as Pub/Sub, Kafka, or Dataflow, and a desire to build future-ready pipelines.
• A responsible, growth-oriented working style, eager to learn from others, share knowledge, and help the team aim higher together.

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