Remote-First Product Engineer | Django, AI & Data Platforms

Allwyn Lottery Solutions; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Health and life insurance for you and/

Well-being allowance

Flexible working options (fully remote

Extensive training resources

Competitive salary with performance‑dr

Job summary

Allwyn Lottery Solutions is hiring a Product Engineer to design, build, and evolve cloud-native data products and web interfaces. You will own features end-to-end, collaborating with Data and Platform Engineers to deliver analytics, dashboards, and AI-powered experiences for iLottery platforms.

The role emphasizes ownership, pragmatic decisions, and high standards in a lean team, with opportunities for AI-assisted development and hands-on production delivery.

Qualifications

• Proven experience building production Django applications.
• Strong understanding of Django architecture (ORM, auth, admin, middleware).
• Web fundamentals, HTTP, HTML, CSS, JS, security, testing.

Responsibilities

• Design, build, and maintain modern web applications providing access to data, analytics, and AI capabilities.
• Own features end-to-end from design to deployment and improvement.
• Build robust backend services and APIs with Python and Django.
• Develop responsive UIs with modern web tech while ensuring performance and accessibility.
• Collaborate with Data/Platform Engineers to integrate analytics and cloud capabilities.
• Architect and implement dashboards, reporting, and AI-powered experiences.

Skills

Python

Django

Web apps

APIs

Cloud platforms

Databases

Tools

PostgreSQL

AWS

REST APIs

Job description

Allwyn Lottery Solutions is hiring a Product Engineer to design, build, and evolve cloud-native data products and web interfaces. You will own features end-to-end, collaborating with Data and Platform Engineers to deliver analytics, dashboards, and AI-powered experiences for iLottery platforms.

The role emphasizes ownership, pragmatic decisions, and high standards in a lean team, with opportunities for AI-assisted development and hands-on production delivery.