Senior Data Engineer

Quantum

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profile Job Location:

London - UK

profile Monthly Salary: Not Disclosed
Posted on: 31-10-2025
Vacancies: 1 Vacancy

Job Summary

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 worlds 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. Weve helped ambitious brands grow faster smarter and globally.

The Role

Our Technology team is growing! Were looking for a highly skilled and experienced Senior Data Engineer to design and build a robust scalable and high-performance real-time data backbone.

In this role you will lead the design development and implementation of a real-time data backbone. This position focuses on building and maintaining scalable high-performance data pipelines that support real-time data processing and analytics. You will work closely with various teams to ensure the infrastructure meets the businesss growing data needs while leveraging modern technologies for efficient data ingestion storage and analysis..

Key Responsibilities:

  • Design 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.

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

About You:

  • Hands-on experience in data engineering with a proven track record of building and managing real-time data pipelines across a track record of multiple initiatives.

  • 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.

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

  • You thrive when working as part of a team

  • Comfortable in a fast-paced environment

  • Have excellent written and verbal English skills

  • Last but not least youll have no ego!

What Youll Get

  • Competitive Base Salary

  • Company Bonus Scheme

  • Private Health Care (Bupa)

  • Travel Insurance

  • Market Leading Training Programme

  • Recognition & Reward Scheme

  • Annual Company Conference (previous destinations Vienna Bologna Dubrovnik and Thessaloniki)

  • Regular Happy Hour / Team Lunches

  • Free Coffee Drinks & Snacks

Whats the next step

Our hiring process ensures were 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 were all about at Quantum and want to join a team where you can make an impact please apply or contact us at


Required Experience:

Senior IC

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 worlds most used digital comparison service delivering value and simplicity to millions...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala