Full-Stack Engineer: Build AI-Driven Sports Analytics

Cph Ai Hub; København; Hybrid; DKK 800,000 - 1,100,000; Full time

Job summary

Veo is seeking a capable Full-Stack Software Engineer to join our Coaching, Insights and Analysis group in Copenhagen. You’ll work to turn match data and video into coaches’ daily tools, reporting to the Engineering Manager and collaborating with product managers and designers.

You will contribute across the stack—from frontend interfaces to scalable backend services and APIs—while helping shape the product with architecture decisions and data modeling, ensuring performance and production

Qualifications

• 5+ years of software engineering experience in a product-led environment.

Responsibilities

• Contribute across the full stack, building intuitive user interfaces while developing robust backend services and APIs.
• Take part in the full product lifecycle - from ideation and design to development, deployment, monitoring, and iteration.
• Build and maintain scalable systems that support Veo’s growing platform and user base.
• Contribute to technical discussions, architecture decisions, and data modeling that shape the long-term direction of the product.
• Ensure performance, reliability, and maintainability in the systems the team owns.
• Collaborate closely with other teams across Veo, including AI and platform teams, to integrate insights and video-driven features into the product.
• Contribute to a healthy engineering culture through collaboration, code reviews, and shared ownership of the product.

Skills

Full-stack

Python

Django

PGSQL

TypeScript

Node.js

React

AI tools

CI/CD

Testing

Job description

Veo is seeking a capable Full-Stack Software Engineer to join our Coaching, Insights and Analysis group in Copenhagen. You’ll work to turn match data and video into coaches’ daily tools, reporting to the Engineering Manager and collaborating with product managers and designers.

You will contribute across the stack—from frontend interfaces to scalable backend services and APIs—while helping shape the product with architecture decisions and data modeling, ensuring performance and production