Data Engineer (Marketing Tech)

Senior Data Engineer - Our Company At Quantum, we connect global brands with high-intent consumers. 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. 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.
We’re 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 business's growing data needs while leveraging modern technologies for efficient data ingestion, storage, and analysis.
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.
Hands‑on experience in data engineering with a proven track record of building and managing real-time data pipelines across multiple initiatives.
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., Have excellent written and verbal English skills.
Hybrid Working (3 days in office)
Private Health Care (Bupa)
Travel Insurance
Market Leading Training Programme
Annual Company Conference (previous destinations Vienna, Bologna, Dubrovnik and Thessaloniki)