Quantum

Technology

SeniorDataEngineer

£85–125k ~AI est. London, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Engineer at Quantum. Skills: Data Engineering, Data Pipelines, dbt, Apache Airflow. Design data pipelines. Develop data pipelines”

Industry & Context.

Technology

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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