Full-Stack Python & React Engineer — Data Platforms

Oliver Bernard; Greater London; On-site; GBP 70,000 - 95,000; Full time

Job summary

Oliver Bernard is seeking a broad, high-impact engineer to own full-stack development and help shape engineering practices across a team. The role focuses on core platforms and data products used by thousands of clients in education, translating complex data into actionable insights.

Collaborate with Product, Engineering and QA to build scalable services, APIs and data-driven experiences while mentoring others and driving quality, testing and process improvements.

Qualifications

• Experience with data modelling and relational databases.
• Strong SQL and relational database experience.
• Full-stack experience from database through to UI.
• Experience designing and building APIs/services.
• Strong understanding of SOLID, DRY, Clean Code and TDD.
• Experience working with large-scale or complex systems.
• Collaborative approach with mentoring and influencing others.
• Interest in how data and AI/ML can enhance product experiences.

Responsibilities

• Build and scale front-end and back-end services across the stack.
• Develop APIs and data-driven product experiences.
• Work with Python, React and SQL across the stack.
• Design well-architected, scalable and maintainable solutions.
• Drive automated testing, quality and reliability.
• Lead code reviews and pair programming.
• Mentor and support other engineers.
• Contribute to technical discussions, workshops and knowledge sharing.
• Help improve engineering processes, product quality and delivery.

Skills

Data Modelling

SQL and relational databases

Full-stack

APIs/services design

SOLID/DRY/Clean Code/TDD

Large-scale systems

Mentoring & collaboration

Data & AI/ML in product

Tools

Docker

Job description

Oliver Bernard is seeking a broad, high-impact engineer to own full-stack development and help shape engineering practices across a team. The role focuses on core platforms and data products used by thousands of clients in education, translating complex data into actionable insights.

Collaborate with Product, Engineering and QA to build scalable services, APIs and data-driven experiences while mentoring others and driving quality, testing and process improvements.