About the role
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.
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What you’ll do
- Our 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.
- Design, 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.
- Lead the development of transformation workflows using dbt, with a strong emphasis on testing, documentation, and data quality.
- Architect and manage pipeline orchestration via Apache Airflow, ensuring reliability and observability at every stage.
- Monitor and optimise pipeline performance for low-latency, high-throughput use cases.
- Collaborate closely with Data Architect, marketing analysts, and business stakeholders to ensure data infrastructure directly supports business objectives.
- Mentor and support more junior engineers, helping to raise the bar across the team.
About Quantum
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