Data Engineer Location: London - 5 Days a week Type: Permanent

We’re looking for a sharp, curious, and proactive Data Engineer with a strong foundation in building production-grade data systems. This role will suit someone who thrives in fast-paced environments, loves solving complex problems, and enjoys transforming raw data into high-impact analytics and intelligent systems.

You’ll work across the full data lifecycle — from designing ELT pipelines and integrating semantic layers with LLM tooling, to developing clean, scalable infrastructure that powers customer-facing insights.

What You’ll Do Design and build reliable, scalable systems supporting complex integrations (e.g., PMS and Payments), internal tooling, and data workflows. Own projects end-to-end — from concept through to deployment — delivering fast, production-grade solutions that balance technical rigor with speed. Collaborate cross-functionally with product, commercial, and client teams to ensure engineering efforts align with strategic business objectives. Drive quality by applying strong engineering principles, writing clean, maintainable code, and continuously refining development processes. Develop and optimize SQL data pipelines using dbt and manage data transformations within modern data warehouse environments.

Your Experience 2–3+ years of experience as a Data Engineer or similar role, building and maintaining production-grade systems. Strong skills in data transformation, ELT pipeline design, and cloud-based data warehousing . Proven ability to deliver fast, clean, and scalable data solutions in agile environments. Experience working with LLM tools (Google Vertex, Azure AI Foundry, OCR) is highly advantageous. Bonus points for experience in fintech or healthcare

Tech Stack Dagster · Airbyte · dbt · BigQuery · Cube · Metabase · PostgreSQL · Supabase · LLMs (Google Vertex, Azure AI Foundry, OCR) · TypeScript · Next.js · Tailwind CSS · Node.js · Drizzle · Vercel