Accepting applications until:

31 July 2026

Job Description

Your Role: AI Python Developer

This role sits in the Global:IQ team, building our next-generation intelligence platform. Global:IQ brings together 1st party and partner data, tools and capabilities to turn data into audience understanding and optimised, >Key Responsibilities

• Backend Engineering (50%): Design, build and maintain robust APIs and microservices using Python, FastAPI and Postgres to power the Global:IQplatform.

• Data Engineering (20%): Develop and support data pipelines and integrations that enable AI and analytics use cases across Global:IQ.

• Infrastructure & Data Warehousing (30%): Integrate with cloud platforms (AWS) and Snowflake, ensuring data is accessible, performant and secure for downstream products and services.

What You’ll Love About This Role

Think Big: Help build the “brain” of the company, shaping end-to-end AI and data capabilities that change how we plan and deliver media.

Own It: Take features from idea to production, advocating for modern, AI-enabled engineering practices and high-quality code.

Keep it Simple: Turn complex data and modelling requirements into clean, well-structured services and APIs that are easy to understand and maintain.

Better Together: Work closely with data scientists, engineers and product teams in a fast-paced, startup-style environment backed by enterprise-scale data and brands.

What Success Looks Like

In your first few months, you’ll have:

• Built a solid understanding of the Global:IQarchitecture, data flows and core use cases.

• Delivered your first production services and pipelines following modern, AI-accelerated development practices.

• Played a key part in bringing new Global:IQfeatures into production for real users.

• Established yourself as a technical voice in the team, contributing to standards, best practice and ways of working.

What You’ll Need

• Backend Engineering Experience: Around 3+ years working on backend services, ideally in product or platform teams.

• Python & APIs: Strong proficiency in Python, with hands-on experience using FastAPI (or similar frameworks) and Postgres in production.

• Cloud & Data Platforms: Practical experience with cloud environments and modern data warehouses, ideally including Snowflake.

• AI & Data Mindset: Experience contributing to data or AI/ML-powered products, and an interest in building systems that support data workflows end to end.

• Modern Engineering Practices: Comfortable using AI-accelerated tools (e.g. Claude Code, Copilot-style tools) and working in fast-moving, highly accountable teams.

• Outcome Focus: A passion for using data and intelligence to improve campaign performance and demonstrate media value.