Senior Fullstack Engineer (Django, React, Analytics, AWS) (City of London)

The Role:

We’re looking for a Senior Full stack Engineer with a strong background in analytics, data pipelines, and marketing automation. You’ll lead the development of data-driven features, enabling enterprises to measure and optimize their digital business card interactions. As part of this role, you’ll help migrate our backend from Flask to Django, ensuring a scalable and well-structured API design.

Responsibilities

• Design and develop analytics and reporting tools, providing insights into user engagement and marketing performance.
• Build and optimize data pipelines for tracking and processing user interactions.
• Work closely with co-founders and product leaders to architect new marketing and analytics features.
• Support the migration from Flask to Django
• Adapt RESTful APIs to support integrations with CRM, marketing automation, and analytics platforms.
• Enhance the frontend using React and TypeScript, ensuring intuitive visualization of analytics data.
• Implement event tracking, attribution models, and A/B testing frameworks.
• Deploy and monitor applications using AWS (EC2, S3, CloudFormation, ECS).
• Ensure data security, compliance, and performance optimization.

Requirements:

• 4+ years of experience in software engineering, with a focus on backend development.
• Experience building analytics and marketing tools (e.g., dashboards, tracking systems, attribution models).
• Strong experience with Django (or Flask) and PostgreSQL.
• Solid understanding of data pipelines, event tracking, and API integrations.

• Proficiency in React, TypeScript, and frontend visualization frameworks (e.g., D3.js, Chart.js, Recharts).
• Hands-on experience with AWS services (EC2, S3, CloudFormation, ECS).
• Experience with CI/CD pipelines, DevOps best practices, and monitoring tools.
• Familiarity with CRM and marketing automation platforms (HubSpot, Salesforce, Iterable, etc.).

Bonus Points:

• Experience with Google Analytics, Mixpanel, Segment, or other event tracking tools.
• Knowledge of AI/ML models for marketing insights and predictive analytics.
• Familiarity with Redis, Huey (or Celery) for background task processing.
• Experience with Stripe, Google Pay for Passes, Apple Wallet, APNS.