Accepting applications until: 16 October 2026Job DescriptionYour role: Data EngineerA 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.
Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements.
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. xohmjla Better Together: Work in a highly collaborative, cross-functional team spanning technical and commercial expertise. 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 efficiencyWhat 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 productsSummaryLocation: Holborn
- LondonType: Full time
Data Engineer in Vauxhall employer: Global
Global is an exceptional employer that champions inclusivity and creativity, making it a fantastic place for aspiring Junior Shooters & Video Editors. Located in the vibrant Leicester Square, employees benefit from a dynamic work culture that encourages collaboration and innovation, with ample opportunities for professional growth within a highly skilled team. With the chance to create impactful content seen by millions, Global not only values your contributions but also supports your development in a fast-paced, exciting environment.
