Data Engineer

dunnhumby; Gurugram District; Hybrid; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Flexible working hours

Investment in technology

Birthday off

Job summary

dunnhumby is looking for an experienced professional to focus on Retail Media Measurement. This role involves designing, building, and scaling solutions to enable accurate measurement of retail media campaigns. Candidates should have over 3 years of experience in .NET, SQL, and event-driven architectures.

Benefits include a comprehensive rewards package, flexible working hours, and a commitment to diversity and inclusion.

Qualifications

• 3+ years of experience in .NET and SQL for large-scale data processing.
• Solid understanding of OOP concepts and their application.
• Experience designing event-driven architectures using tools like Google Pub/Sub.
• Hands-on experience with Docker and Kubernetes.

Responsibilities

• Design and build solutions for measuring retail media campaigns.
• Provide actionable insights to optimize media investments.
• Collaborate with stakeholders to enhance customer experience.

Skills

.NET

SQL

OOP concepts

SOLID principles

event-driven architectures

Docker

Kubernetes

CI/CD tools

version control

Job description

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.

Nice to Have

• Knowledge of 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 provide a comprehensive rewards package typical of a leading technology company, along with flexible working hours and your birthday off. You will also benefit from investment in cutting‑edge technology while enjoying a nimble, small‑business feel that encourages experimentation and learning.

We live diversity and inclusion every day, supported by networks such as dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive.

Our Approach to Flexible Working

We value work‑life balance and are open to discussing agile working opportunities during the hiring process, depending on the role.

For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here).