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 infrastructure
• Develop backend services, APIs, and workflows around data
• Contribute to production systems that consume and serve data

👉 Think: data as a product, not just data movement 🔧 Key Responsibilities

• Build and maintain scalable data pipelines (ingestion → transformation → serving)
• Develop APIs and backend services that expose and operationalise data
• Design and implement data-driven workflows and automation systems
• Work across both data platform and application layers
• Contribute to data modelling (dbt + warehouse design)
• Ensure system reliability, scalability, and observability
• Collaborate with product and engineering teams to support real use cases
• Own the full lifecycle: design → build → deploy → monitor

🧱 Tech Stack

• Languages: Python, SQL
• Data & Modelling: dbt, BigQuery
• Cloud: GCP
• Infrastructure: Docker, Terraform
• Ingestion: Airbyte (or similar)

✅ Requirements Core Skills

• Strong SQL and data modelling fundamentals
• Solid Python experience (pipelines, services, or backend development)
• Experience building data pipelines AND software/data services
• Understanding 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 & Infrastructure

• Experience with Docker (containerisation)
• Familiarity with Terraform or other IaC tools
• Knowledge of data ingestion patterns

👤 Ideal Candidate You are:

• A hybrid data + software engineer
• Comfortable building both pipelines AND backend/data services
• Strong in system design and architecture thinking
• A problem solver who focuses on fundamentals, not just tools
• Able to work in low-structure, fast-moving environments
• Product-minded — you understand how data is used, not just how it’s built

🌱 Nice to Have

• Experience with event-driven or streaming systems
• Exposure to AI/ML or data-enabled applications
• Experience building internal tools or automation frameworks

💡 What You’ll Get

• Build a modern data platform from the ground up
• Work across data engineering, backend engineering, and infrastructure
• High ownership and autonomy in a growing team
• Direct impact on real product and business systems
• Exposure to AI-driven and automated workflows

📈 Career Growth Clear progression toward:

• Data Platform Engineer
• Backend / Distributed Systems Engineer
• Technical / Architecture leadership roles