Senior Data Engineer

🕒 4 days ago

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Quantum

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

🤝 B2B

📱 Media

B2B • Media

Quantum is a performance-driven marketing company that connects global brands with high-intent consumers through data-driven affiliate and multi-channel campaigns. The firm combines in-house technology, full-stack analytics, paid acquisition, CRM and compliance-first operations to deliver measurable, scalable growth and optimized ROI for brand partners.

📋 Description

• 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