Quantum
Technology
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Quantum. Skills: Data Engineering, Data Pipelines, dbt, Apache Airflow. Design data pipelines. Develop data pipelines”
Industry & Context.
What They're Looking For.
Must Have
Significant hands-on experience in data engineering, Expert-level SQL, Proficiency in Python
Nice to Have
PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
What You'll Do.
Design data pipelines
Develop data pipelines
Maintain data pipelines
Build scalable infrastructure
Support real-time analytics
Enable self-serve analytics
Ensure clean data flow
Lead transformation workflows
Emphasize documentation
Emphasize data quality
Architect pipeline orchestration
Manage pipeline orchestration
Monitor pipeline performance
Optimise pipeline performance
Collaborate with Data Architect
Collaborate with analysts
Collaborate with stakeholders
Ensure infrastructure supports objectives
Mentor junior engineers
Support junior engineers
How You'll Work.
Team & Collaboration
Business stakeholders; Data Architect; Marketing analysts; Junior engineers
Communication Scope
Explain data concepts
Full Job Description
Our Company At 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 Role 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. 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 Responsibilities - 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 A
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