LEAD DATA ENGINEER (UK)

Function: Data Engineering, Analytics & Science.
Responsibility: Data Pipeline Architecture | Data Warehousing | AI-Enabled Analytics
Reports to: COO
Location: Remote (UK-Based)

REQUIREMENTS

• 3+ years of experience in Data Engineering or Data Infrastructure roles.
• Experience architecting and deploying ETL pipelines.
• Strong command of PostgreSQL, Supabase, Firebase, or equivalent.
• Proficient with Python or TypeScript for data manipulation.
• Understanding of e-commerce, performance marketing metrics, and reporting logic.
• Experience using AI tools and LLMs to query or generate insight from datasets (e.g. OpenAI, LangChain, GPT APIs).
• Bonus: Experience working with vector databases, embeddings, or building RAG frameworks.
• Bonus: Familiar with no-code/low-code tools like n8n, Make, or Zapier.

MAIN RESPONSIBILITIES:

• Architect and build data pipelines from advertising platforms (Meta, Google, TikTok) into a structured warehouse.
• Design and implement scalable data infrastructure using tools like Supabase, Firebase, or AWS RDS/Redshift.
• Create schemas and data models that enable RAG pipelines, AI analysis, and auto-generated insights across all departments.
• Own documentation, data accuracy, redundancy protection, and long-term data scalability.
• Automate weekly performance reports for clients and creative testing analytics.
• Act as the data steward of the organisation: proactive in identifying blind spots, inefficiencies, and unlocks for productisation.
• Collaborate with Growth and Creative teams to translate business roadmaps into technical solutions.
• Embed AI into data processes and workflows to optimise performance, automate tasks, and drive innovation, ensuring we stay at the forefront of the e-commerce and advertising industry.

WHY THIS ROLE?:

• Zero legacy. You’re not maintaining existing pipelines, you’re building from scratch.
• Immediate impact. What you build in month 1 will be used by 40+ marketers to make decisions daily.
• Real autonomy. You report directly to the COO and will shape how the entire business uses data.
• Career upside. It’s an opportunity to join an environment where you have a chance to be the founding data lead for tools that may become their own SaaS product.