Data Engineer

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.