Our CompanyAt Quantum, we connect global brands with high-intent consumers.
We turn intent into action and complexity into clarity.
Our Mission is clear, to help smarter, faster buying decisions.
Our vision, to be the world’s most used digital comparison service, delivering value and simplicity to millions.
We drive growth through data-driven affiliate marketing built for performance from day one.
Every campaign is measurable, optimised in real time, and designed to scale.
With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge.
We drive confident decisions and growth in regulated and high-growth sectors.
We’ve helped ambitious brands grow faster, smarter, and globally.
The RoleOur Technology team is growing and we'd love you to grow with us.
We're looking for a skilled and experienced Senior Data Engineer to help design and build a robust, scalable, and high-performance real-time data backbone.
In this role, you'll take a leading hand in the design, development, and implementation of a real-time data backbone.
Your focus will be on building and maintaining scalable, high-performance data pipelines that support real-time data processing and analytics.
You'll work closely with teams across the business to ensure our infrastructure meets growing data needs, leveraging modern technologies for efficient data ingestion, storage, and analysis.
Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines and infrastructure that power real-time analytics and reporting.
Take ownership of our semantic layer using Cube.
js, enabling reliable, self-serve analytics across the organisation.
Integrate and unify data from Salesforce, CDP, and SCV sources, ensuring clean, consistent data flow across marketing and customer data platforms.
Architect and manage pipeline orchestration via Apache Airflow, ensur.