Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of data-driven features and migrate backend from Flask to Django.
- Company: Join a dynamic team focused on optimising digital business card interactions.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of marketing automation and analytics, shaping user engagement strategies.
- Qualifications: 4+ years in software engineering with strong skills in Django, React, and AWS.
- Other info: Bonus points for experience with AI/ML models and event tracking tools.
The predicted salary is between 36000 - 60000 £ per year.
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.
Senior Fullstack Engineer (Django, React, Analytics, AWS) employer: Aegistech
Contact Detail:
Aegistech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Fullstack Engineer (Django, React, Analytics, AWS)
✨Tip Number 1
Make sure to showcase your experience with Django and React during any discussions. Highlight specific projects where you've successfully implemented these technologies, especially in analytics or marketing tools.
✨Tip Number 2
Familiarise yourself with the latest trends in data pipelines and event tracking. Being able to discuss recent advancements or tools you've used can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with AWS services in detail. Be ready to explain how you've deployed applications and ensured their performance and security in a cloud environment.
✨Tip Number 4
Network with professionals in the field, especially those who have experience in marketing automation and analytics. Engaging in relevant communities can provide insights and potentially lead to referrals.
We think you need these skills to ace Senior Fullstack Engineer (Django, React, Analytics, AWS)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Django, React, and AWS. Include specific projects where you've built analytics tools or worked on data pipelines to demonstrate your relevant skills.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your background aligns with the company's goals. Mention your experience in migrating applications from Flask to Django and your familiarity with marketing automation tools.
Showcase Relevant Projects: If you have any personal or professional projects that involve building analytics dashboards or working with event tracking, be sure to include these in your application. Provide links or descriptions that showcase your contributions.
Highlight Soft Skills: Since this role involves collaboration with co-founders and product leaders, emphasise your communication and teamwork skills. Share examples of how you've successfully worked in teams to deliver complex projects.
How to prepare for a job interview at Aegistech
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Django, React, and AWS in detail. Bring examples of projects where you've built analytics tools or data pipelines, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Needs
Research the company’s current products and how they utilise data-driven features. Be ready to suggest improvements or new features that align with their goals, showing that you can think strategically about their business.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities, especially around API design and data security. Practice coding challenges related to backend development and data processing to sharpen your skills.
✨Demonstrate Collaboration Skills
Since you'll be working closely with co-founders and product leaders, highlight your experience in collaborative environments. Share examples of how you've successfully worked in teams to deliver complex projects on time.
