Senior Data Engineer

Quantum · London (hybrid)senior

En corto

▸Ingeniero de datos senior que construye infraestructura de datos en tiempo real con enfoque en escalabilidad y calidad.
▸Se encarga de pipelines, capa semántica con Cube.js, integración de Salesforce/CDP/SCV y transformaciones con dbt.
▸Destacado: liderazgo técnico, mentoría y trabajo con datos de marketing y cliente a gran escala.

Excellent written and verbal English communication skills.

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¿Qué piden?

✓Experiencia comprobada en ingeniería de datos con entrega end-to-end de iniciativas complejas.
✓Conocimiento profundo de capas semánticas (Cube.js), incluyendo preagregaciones y caché.
✓Experiencia práctica integrando Salesforce Marketing Cloud, CDP y Single Customer View (SCV).
✓Dominio avanzado de SQL y desarrollo de pipelines con dbt con énfasis en pruebas y documentación.
✓Experiencia con Apache Airflow en entornos de producción para orquestación de flujos.
✓Excelentes habilidades de comunicación en inglés (escrito y verbal).

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

Apache AirflowdbtCube.jsSalesforce Marketing CloudCDPSingle Customer View (SCV)AWSGCPAzurePython

¿A quién escribirle en Quantum?

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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. Responsibilities Design, develop, and maintain scalable data pipelines and infrastructure that power real-time analytics and reporting. 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. 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.

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