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dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. At dunnhumby, we’re building a unified intelligence layer, a modern platform designed for AI, real-time data, and scale. This new architecture replaces heritage products that worked in isolation, enabling tailored experiences for different personas and workflows that span across silos. By democratizing our science and integrating richer data feeds, the platform will drive deeper collaboration between retailers and CPGs and deliver long-term value. Joining this team means working on cutting-edge technology that transforms how data, AI, and product innovation come together to shape the future of retail. We’re looking for an Lead Engineer to join our Application Platform Team, who combines strong technical expertise with people leadership, capable of guiding teams delivering high‑quality, production‑ready solutions. You’ll bring hands‑on experience across modern engineering stacks and be comfortable working closely with platform, product, and data teams to deliver scalable systems. Alongside this, you’ll play a key role in developing and supporting engineers at different levels, fostering a collaborative, high‑performing environment, and ensuring best practices around code qua
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Dunnhumby is a global leader in Customer Data Science, partnering with ambitious retailers and brands to utilize customer data for strategic decision-making. They combine deep insight, advanced technology, and close collaboration to help clients achieve growth, innovation, and measurable value. The company focuses on areas like loyalty, category management, and retail media, aiming to help businesses make better decisions faster through AI-driven science and decades of expertise.
The interview process for an Engineering Manager role is likely to be structured, evaluating both technical leadership and hands-on engineering capabilities. Given the company's size and global presence, it will involve multiple stages, focusing on problem-solving, architectural design, team management, and cultural fit.
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