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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. Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21st century human experience – then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter & Gamble and PepsiCo. We’re looking for a talented Privacy Risk & Assurance Analyst who expects more from their career. It’s a chance to work with our clients to implement our data platforms and software products. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers. In this role, you support the data risk model by assuring, maintaining, and improving the quality of privacy and data‑risk information across our securiti* tooling and processes. You perform second‑line assurance, manage issues and risks through their lifecycle, and resolve privacy‑relevant DSPM issues to strengthen controls, reduce exposure, and improve our compliance posture. Your focus is assurance, risk management, data quality, and precision in applying privacy requirements. Qualifications: • 2+ years of experie
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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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