Blis

Blis is the audience-first platform that doesn't rely on personal data. We’re an integrated planning and buying platform that delivers scaled, relevant and high-performing audiences, helping the world’s largest brands and media agencies achieve their goals. Over the past 18 years, Blis has built its reputation on delivering award-winning location-powered advertising solutions. In today’s consumer-centric landscape, Blis is transforming the role of location data by combining it with a broad range of rich and powerful datasets to give our clients the deepest audience understanding available. Our unique approach to integrated planning and buying provides personalised targeting and performance without reliance on personal data. We serve relevant ads to the highest-value addressable audiences across any channel and deliver our clients’ campaign outcomes every time, from brand awareness and engagement through to store/site visits and sales. Established in the UK in 2004, Blis now operates in more than 40 offices across five continents. Working with the world’s largest and most customer-driven companies across all verticals including Unilever, Samsung, McDonald's, HSBC, Mercedes Benz and Peugeot, as well as every major media agency. To learn more, visit blis.com.
01/12/2025
Full time
Blis Lochrin Terrace, Edinburgh EH3 9QJ, UK
Come work on fantastically high-scale systems with us! Blis is an award-winning, global leader and technology innovator in big data analytics and advertising. We help brands such as McDonald's, Samsung, and Mercedes Benz to understand and effectively reach their best audiences. We are looking for solid and experienced Data Engineers to work on building out secure, automated, scalable pipelines on GCP. We receive over 350gb of data an hour and respond to 400,000 decision requests each second, with petabytes of analytical data to work with. We tackle challenges across almost every major discipline of data science, including classification, clustering, optimisation, and data mining. You will be responsible for building stable production level pipelines maximising the efficiency of cloud compute to ensure that data is properly enabled for operational and scientific cause. This is a growing team with big responsibilities and exciting challenges ahead of it, as we look to reach...