London (hybrid) Hybrid Full-time

Quantum is hiring a Senior Data Engineer

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.

Requirements

  • 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.

Benefits

  • 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

Work Arrangement

Hybrid

Additional Information

  • Hybrid Working (3 days in office)
Required Skills
Data EngineeringPython
About company
Quantum

We’re an award-winning affiliate partner, trusted by ambitious global brands to drive performance at scale. With in-house tech and a data-first approach, we deliver high-intent users and measurable growth across every vertical.

Founded in 2014 as QiH, we rebranded as Quantum with a renewed vision to shape the future of affiliate marketing across multiple high-growth verticals and global markets. Our foundation is built on performance, data, and smart execution, with offices in London and Skopje.

We leverage data-driven strategies to attract and convert the right players, delivering low-risk acquisition at scale. Real-time insights and advanced in-house reporting ensure optimized campaigns and profitability through LTV and waterfall modelling.

Compliance is central to our operations. We uphold responsible marketing practices, avoid misleading information, and do not target vulnerable audiences, ensuring transparency and safety for players and partners alike.

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Job Details
Department Technology
Category data
Posted a month ago