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As a Senior End User Engineer at dunnhumby, you will provide third-line support and develop/deploy new technologies prioritizing user experience. You will manage various cloud and on-premises platforms, automate processes, and oversee security measures, ensuring systems operate efficiently and effectively.

The Enterprise Risk Management Analyst at dunnhumby is responsible for administering ERM systems, supporting risk owners, developing risk registers, and promoting a culture of risk awareness within the organization. They will analyze risk trends, develop reports, and assist in risk mitigation strategies while providing training to employees across different geographies.

The Senior Software Engineer - DevOps role at dunnhumby requires creating and maintaining cloud infrastructure as code, automating CI/CD pipelines, and improving software development processes using various tools and languages including Azure, GCP, Terraform, and more.

The Senior Engineer will design, develop, and deliver robust applications using C#, .Net Core, and React, focusing on APIs and automated tests, working in Agile teams, and supporting the mentoring of junior engineers while contributing to cloud technology upgrades.

As a Fullstack Lead Engineer at dunnhumby, you'll mentor and coach your team, lead end-to-end projects, analyze requirements, establish coding standards, and ensure high code quality. You'll collaborate on project management and help improve processes by identifying inefficiencies. Your expertise in C# and development of RESTful APIs will be essential, along with your knowledge of modern technologies and methodologies.

As a Senior Software Engineer, you will design, develop, and deliver robust software solutions, primarily using C# and React. You'll work closely with product managers in an agile environment, and engage in unit testing, CI/CD practices, and maintenance of live systems.

As a Senior Research Data Scientist, you will design and build advanced demand forecasting models and apply machine learning, statistical, and econometric methods to various customer data science challenges. You will prototype solutions and have the opportunity to present your findings to internal teams and clients.