Posted 1mo ago
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. We’re looking for a Big Data Engineer who expects more from their career. It’s a chance to extend and improve dunnhumby’s Data Engineering Team. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers. What we expect from you • 2–5 years of experience in Data Engineering or a related field • Strong experience with Python, PySpark, and SQL (mandatory) • Experience working in Linux environments and writing shell scripts • Hands-on experience with big data technologies such as Spark, Hive, Hadoop, Airflow, Oozie, HBase, or MapReduce • Experience with data pipeline development and data flow managem
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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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