Lead AI & Data Engineer / Full-Stack Developer

About the Role

We are seeking an experienced Lead AI & Data Engineer / Full-Stack Developer to lead the development of an AI-powered analytics platform for eCommerce and digital marketing businesses.

The platform will aggregate data from multiple marketing and analytics sources, transform it into meaningful business insights, and leverage AI to provide recommendations, forecasting, anomaly detection, and automated decision-making capabilities.

This is a hands-on technical leadership role requiring expertise across data engineering, AI development, backend architecture, frontend development, API integrations, and business intelligence.

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Key Responsibilities

Data Engineering & Platform Integration

* Design, build, and maintain scalable data pipelines connecting multiple marketing, advertising, analytics, and CRM platforms.
* Integrate data from sources such as Google Analytics, Google Ads, Meta Ads, Search Console, Merchant Center, email marketing platforms, and other third-party systems.
* Process and transform large datasets into actionable business metrics and KPIs.
* Manage API integrations and data synchronisation across multiple platforms.
* Ensure data accuracy, reliability, security, and scalability.

AI & Machine Learning Development

* Develop an AI-powered insight engine that analyses marketing and eCommerce performance data.
* Implement predictive analytics, forecasting, anomaly detection, and optimisation models.
* Build AI systems capable of generating business recommendations and prioritised action plans.
* Design and implement Agentic AI workflows that can reason, identify issues, and provide practical recommendations automatically.
* Continuously improve AI performance through testing, evaluation, and model optimisation.

Dashboard & Frontend Development

* Design and develop modern, responsive dashboards using React and TypeScript.
* Build executive-level reporting dashboards and detailed marketing performance views.
* Create intuitive visualisations for key business metrics and customer behaviour analysis.
* Develop user-friendly interfaces that simplify complex marketing and analytics data.
* Collaborate on UX/UI improvements to enhance usability and user adoption.

Platform Architecture & Development

* Design scalable backend services and infrastructure.
* Build secure and efficient APIs and data services.
* Optimise platform performance, scalability, and reliability.
* Contribute to product architecture and technical decision-making.
* Collaborate with stakeholders to define technical requirements and product roadmap priorities.

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Required Skills & Experience

Frontend Development

* Strong experience with React.js, TypeScript, and JavaScript.
* Experience building complex dashboards, reporting systems, or SaaS applications.
* Strong understanding of responsive design and frontend performance optimisation.

Backend Development & Data Engineering

* Advanced Python development experience.
* Experience building data pipelines and ETL processes.
* Strong knowledge of database design, data modelling, and data processing frameworks.
* Experience with cloud infrastructure and scalable application architecture.

AI & Machine Learning

* Experience building AI-powered applications and business intelligence solutions.
* Strong understanding of machine learning concepts, LLMs, AI workflows, and automation.
* Proven experience developing Agentic AI systems or autonomous AI agents.
* Experience integrating AI services and building intelligent recommendation systems.

API Integration & Data Connectivity

* Extensive experience working with REST APIs and third-party integrations.
* Strong understanding of authentication methods, webhooks, and data synchronisation.
* Experience connecting marketing, analytics, advertising, and CRM platforms.

Digital Marketing & eCommerce Analytics

* Deep understanding of digital marketing and eCommerce metrics, including:
* ROAS (Return on Ad Spend)
* CAC (Customer Acquisition Cost)
* CLV/LTV (Customer Lifetime Value)
* Conversion Rate
* Marketing ROI
* Revenue Attribution
* Customer Journey Analysis
* Experience working with digital marketing data and reporting platforms is highly desirable.

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Preferred Qualifications

* Experience building SaaS products.
* Experience with Google Analytics 4 (GA4), Google Ads, Meta Ads, Search Console, and eCommerce platforms.
* Experience with AI-powered analytics and decision-support systems.
* Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
* Experience working in startup or fast-paced product environments.

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Success in This Role

You will play a key role in building an innovative AI-powered analytics platform that helps businesses understand their marketing performance, identify growth opportunities, and make smarter decisions through actionable AI-driven insights.

This version is structured more like a professional job posting and will attract higher-quality candidates because it clearly separates responsibilities, technical requirements, preferred qualifications, and business objectives.

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