Backend Engineer(.NET)

Requirements

• Knowledge with data quality, data cataloging, metadata management, and lineage tools.
• PySpark, and Hive
• Experience with cloud data warehouses and query engines such as Big Query.
• What you can expect from us
• We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
• You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
• Our approach to Flexible Working
• At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
• We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
• For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

Benefits

Additional Information

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. Retail Media is transforming how advertisers connect with consumers through personalized and targeted campaigns across retailers' digital and physical touchpoints. Retail Media Measurement plays a pivotal role in ensuring the effectiveness of these campaigns, driving value for advertisers, retailers, and consumers alike. This role focuses on designing, building, and scaling solutions that enable the accurate measurement of retail media campaigns across various channels. By providing actionable insights, it empowers stakeholders to optimize media investments, improve ROI, and enhance the overall customer experience. What We Expect from You 3+ years of experience in .NET and SQL for large-scale data processing and transformation. Solid understanding of OOP concepts (encapsulation, inheritance, polymorphism, abstraction) and their practical application in production codebases. Good working knowledge of SOLID principles and design patterns applied to real-world system design. Strong focus on engineering best practices - clean code, separation of concerns, dependency injection, testability, and maintainability. Experience designing and building event-driven architectures using tools like Google Pub/Sub, Apache Kafka, or RabbitMQ. Hands-on experience with distributed systems - understanding consistency, partitioning, fault tolerance, and scalability of trade-offs. Data modeling expertise for large systems. Practical experience with Docker and Kubernetes. Familiarity with CI/CD tools like GitLab CI/CD for automated build, test, and deployment pipelines. Development Practices: Proficiency in unit testing and ensuring code quality. Hands-on experience with version control tools like Git.

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