Senior Data Engineer

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

 

Market-Leading Training Programme

 

Recognition & Reward Scheme

 

Annual Company Conference (previous destinations: Vienna, Bologna, Dubrovnik, Thessaloniki)

 

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 careers@quantum.media.

 

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