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Job Description
Accepting applications until: 7 August 2026
Your role: Data Engineer
A hands-on role building scalable data infrastructure that powers AI-driven products and audience intelligence. As a Data Engineer at Global, you will:
Key Responsibilities
- Data Platform & Pipeline Engineering (60%): Design, build and maintain scalable batch and near real-time pipelines across ingestion, transformation and serving layers. Develop reusable data models and optimise performance, reliability and cost.
- Platform Evolution & Engineering Excellence (20%): Shape the Global:IQ data platform through best practices in architecture, tooling, CI/CD and infrastructure as code. Create reusable components and maintain clear technical documentation.
- Quality & Governance (10%): Implement robust data validation, testing, lineage and observability to ensure high-quality, trusted datasets. Support governance and privacy-conscious data handling.
- Collaboration & Enablement (10%): Partner with Data Science, MLOps, Product and commercial teams to deliver production-ready data solutions. Support and mentor others while communicating clearly with stakeholders.
What You’ll Love About This Role
- Think Big: Build a data platform from the ground up that will scale with a cutting-edge AI and ML product.
- Own It: Take responsibility for production-grade data systems that directly power targeting, optimisation and measurement.
- Keep it Simple: Apply pragmatic engineering to deliver reliable, maintainable solutions without over-engineering.
- Better Together: Work in a highly collaborative, cross-functional team spanning technical and commercial expertise.
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What Success Looks Like
In your first few months, you’ll have:
- Developed a strong understanding of the Global:IQ platform and its core use cases
- Successfully onboarded key datasets with robust ingestion and quality standards
- Delivered reliable pipelines supporting live production use cases
- Established or improved data engineering standards and best practices
- Built strong working relationships across Data, Product and commercial teams
- Identified opportunities to improve scalability, reliability and efficiency
What You'll Need
- Programming & Data Skills: Strong Python and SQL skills, with experience building production-grade data pipelines
- Data Platform Experience: Hands-on experience with modern data tools (e.g. Snowflake, Airflow, dbt) and cloud environments (preferably AWS)
- Engineering Best Practice: Knowledge of CI/CD, testing, version control and infrastructure as code
- Data Quality & Governance: Understanding of observability, validation and maintaining reliable data systems
- Collaboration & Communication: Ability to translate business and data science needs into scalable solutions and communicate clearly with stakeholders
- Mindset & Approach: Pragmatic, ownership-driven and curious, with a passion for building impactful data products
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Global is home to some of the UK's best-loved radio stations such as Heart, Capital and Classic FM, to name a few, we keep 25.2 million listeners tuned in and entertained each week. And that's just for starters; we’re one of the leading Outdoor advertising companies in the UK, having recently acquired Primesight and Outdoor Plus. With over 35,000 sites covering 95% of the UK population, Global Outdoor packs a punch! In 2018 we launched our awards ceremony, The Global Awards, to celebrate the biggest stars of music, news and entertainment.
To enable us to deliver the absolute best product to our audiences, we need the absolute best people across a range of disciplines. From Technology and Programming to Marketing and Commercial. From Digital to Finance to Legal and beyond, it’s the diverse mix of skills and people that make Global what it is. For us, it’s not just about talent, it’s about the right attitude and a personality to match. Simply put, we're passionate about radio, music, media & entertainment - welcome to our world.
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