Senior Data Engineer

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

• Shape, develop, and maintain scalable real-time data pipelines and infrastructure

• Integrate various data sources and ensure seamless real-time data flow across the organisation

• Build efficient, fault-tolerant, and highly available data ingestion processes

• Monitor and improve data pipeline performance and scalability for low-latency and high-throughput

• Partner closely with cross-functional teams - including software engineers, data scientists, and business stakeholders - to ensure data infrastructure aligns with business objectives

About You

• Solid hands-on experience in data engineering, with a strong track record of building and managing real-time data pipelines across multiple initiatives

• Strong expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.)

• Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage

• Programming skills in Python, Java, Scala, or a similar language

• Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling

• Solid understanding of data pipeline orchestration tools (e.g. Apache Airflow, Kubernetes)

• You do your best work as part of a team and enjoy sharing knowledge as much as gaining it

• Comfortable navigating ambiguity and a fast-moving environment

• Excellent written and verbal English skills

• Collaborative and grounded - you value others' perspectives and create space for them

What You’ll Get

• Private Health Care (Bupa)

• Hybrid Working (3 days in office)

• Travel Insurance

• Competitive Base Salary

• Company Bonus Scheme

• Paid for AI Subscription (Claude / ChatGPT / Gemini)

• Market-Leading Training Programme

• Recognition & Reward Scheme

• Annual Company Conference

• Regular Happy Hours & Team Lunches

• Free Coffee, Drinks & Snacks

What’s the next step?
Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them.
If you like the sound of what we're all about at Quantum and want to join a team where you can make an impact, please apply or contact us at [email protected].