Data Engineer

2 weeks ago

Newcastle upon Tyne, United Kingdom Harnham Full time

Data Engineer Join a fast-growing e-commerce technology company as a Data Engineer dealing with real-time data. The team is small, highly technical, and product-driven, building the entire platform in-house for maximum flexibility and efficiency. You'll be joining a company where engineers are trusted to make decisions, own their work, and directly influence the product roadmap. The Role My client is looking for a Data Engineer who enjoys working close to both data and backend systems. You'll design and build pipelines that process real-time browser events, support backend product features, and play a key role in how the company scales its prediction capabilities. This is a hands-on role with significant autonomy and impact, ideal for someone who thrives in a lean, collaborative, and fast-moving environment. Key Responsibilities Build and maintain data pipelines from event capture through to storage and analytics layers. Support backend feature development that depends on data flows and insights. Work closely with engineers across data, backend, and frontend to ensure smooth integrations. Deploy, test, and optimise workloads in AWS without heavy reliance on managed services. Contribute to decisions around architecture, scalability, and cost efficiency. Take initiative in problem-solving and adapt quickly as the product evolves. Tech Stack Core language: Python (essential) Cloud: AWS (flexibility with this) Bonus experience: Understanding of how web data is generated (browser events, JavaScript, network requests) Exposure to analytical features, vector stores, or ML-driven products What You'll Bring 2–3+ years' experience in a Python-heavy data or backend engineering role. Solid understanding of cloud-native environment. A pragmatic mindset - balancing speed and sustainability in technical decisions. Curiosity about how data moves across the web and how insights drive product impact. Strong communication skills and comfort working independently in a small, distributed team.

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