Quantum (quantum.media) Logo

Quantum (quantum.media)

Senior Data Engineer

Reposted 9 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England, GBR
Senior level
In-Office
London, Greater London, England, GBR
Senior level
The Senior Data Engineer will design and build a scalable real-time data backbone, focusing on data pipelines, integration, and collaboration with teams to support analytics and business objectives.
The summary above was generated by AI

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 Apache Airflow, ensuring reliability and observability at every stage.

  • Monitor and optimise pipeline performance for low-latency, high-throughput use cases.

  • Collaborate closely with Data Architect, marketing analysts, and business stakeholders to ensure data infrastructure directly supports business objectives.

  • Mentor and support more junior engineers, helping to raise the bar across the team.

About You

  • Significant hands-on experience in data engineering, with a proven track record of leading and delivering complex data initiatives end to end.

  • Great understanding of semantic layers such as Cube.js you've built and maintained semantic layers and understand pre-aggregations, caching strategies, and multi-tenancy.

  • Strong experience integrating Salesforce Marketing Cloud, CDP, and Single Customer View (SCV) data you understand the nuances of customer and marketing data at scale.

  • Expert-level SQL and proven experience building robust transformation pipelines with dbt.

  • Solid experience orchestrating workflows with Apache Airflow in production environments.

  • Comfortable working across cloud platforms (AWS, GCP, or Azure) for data ingestion, storage, and processing.

  • Proficiency in Python or a similar language for pipeline development and automation.

  • Strong data modelling instincts you think carefully about how data is structured, named, and consumed downstream.

  • You're as comfortable whiteboarding architecture with engineers as you are explaining data concepts to non-technical stakeholders.

  • Calm and focused in a fast-moving environment you can prioritise well and bring others along with you.

  • Excellent written and verbal English communication skills.

  • You lead by example, care about the team's success, and leave things better than you found 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].

Similar Jobs

18 Days Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Fintech • Mobile • Payments • Software • Financial Services
Design and deliver a real-time liquidity observability stack and core treasury functions. Build scalable, event-driven systems, implement monitoring and control mechanisms, automate cash investment and risk tooling, and collaborate with product, data scientists and stakeholders to forecast cash flows and optimize liquidity.
Top Skills: Distributed SystemsEvent-Driven SystemsMachine LearningMonitoring SystemsReal-Time Observability
2 Days Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Develop, implement, and deploy statistical and machine learning sports models and pricing engines in Python; engineer sports data assets; build automated tests; collaborate with Trading, Product, Engineering, and QA; validate data flows and integrations; and mentor junior data scientists.
Top Skills: Ci/CdDockerKubernetesPythonVersion Control
5 Days Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Design, build, and operate a high-throughput, low-latency real-time data platform using Flink and Kafka. Develop Java and .NET processing and APIs, manage cloud infrastructure (AWS, Terraform), implement CI/CD (Harness), and ensure observability, scalability, performance, and cost-efficiency across production systems.
Top Skills: .NetApache FlinkAWSHarnessJavaKafkaTerraform

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account