Data Engineer

We’re a fast-growing, product-led e-commerce platform undergoing a major transformation of our data and engineering landscape. As part of this journey, we’re building a modern data platform that not only supports analytics, but also powers applications, APIs, workflows, and AI-driven systems across the business. 🚀 The Role We’re looking for a Data Engineer who operates at the intersection of data engineering and software engineering. This is not a traditional pipeline-only role. You will:Build data pipelines and infrastructureDevelop backend services, APIs, and workflows around dataContribute to production systems that consume and serve data👉 Think: data as a product, not just data movement 🔧 Key ResponsibilitiesBuild and maintain scalable data pipelines (ingestion → transformation → serving)Develop APIs and backend services that expose and operationalise dataDesign and implement data-driven workflows and automation systemsWork across both data platform and application layersContribute to data modelling (dbt + warehouse design)Ensure system reliability, scalability, and observabilityCollaborate with product and engineering teams to support real use casesOwn the full lifecycle: design → build → deploy → monitor 🧱 Tech StackLanguages: Python, SQLData & Modelling: dbt, BigQueryCloud: GCPInfrastructure: Docker, TerraformIngestion: Airbyte (or similar) ✅ Requirements Core SkillsStrong SQL and data modelling fundamentalsSolid Python experience (pipelines, services, or backend development)Experience building data pipelines AND software/data servicesUnderstanding of cloud-based data platforms 🔥 Critical ✅ Experience building applications, APIs, or workflows around data✅ Ability to operate beyond the warehouse (e.g. services, integrations, automation)✅ Understanding of how data flows into real production systems Engineering & InfrastructureExperience with Docker (containerisation)Familiarity with Terraform or other IaC toolsKnowledge of data ingestion patterns 👤 Ideal Candidate You are:A hybrid data + software engineerComfortable building both pipelines AND backend/data servicesStrong in system design and architecture thinkingA problem solver who focuses on fundamentals, not just toolsAble to work in low-structure, fast-moving environmentsProduct-minded — you understand how data is used, not just how it’s built 🌱 Nice to HaveExperience with event-driven or streaming systemsExposure to AI/ML or data-enabled applicationsExperience building internal tools or automation frameworks 💡 What You’ll GetBuild a modern data platform from the ground upWork across data engineering, backend engineering, and infrastructureHigh ownership and autonomy in a growing teamDirect impact on real product and business systemsExposure to AI-driven and automated workflows 📈 Career GrowthClear progression toward:Data Platform EngineerBackend / Distributed Systems EngineerTechnical / Architecture leadership roles