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The Senior Engineer will develop and optimize solutions using Scala and Python, with a strong emphasis on coding practices, distributed computing, and functional programming. Responsibilities also include working with CI/CD tools, Docker, Kubernetes, and cloud technologies, ensuring high-quality coding and design principles.

The Vulnerability Management Engineer is responsible for OS patching for Mac and Windows, mitigating vulnerabilities through scripting, enhancing security posture, reporting to security leadership, and continuous monitoring of system performance and security risks. The role also involves collaboration with asset owners and following ITIL processes, providing support, and managing projects related to Windows 11 and Mac technologies.

The Senior Engineering Manager will lead and inspire multiple engineering teams, ensuring the delivery of high-quality software products. Responsibilities include overseeing the engineering function, fostering a culture of excellence, managing Agile practices, and collaborating with various teams. The role also involves technical direction, team development, and executing engineering roadmaps.

The Senior Data Science Engineer at dunnhumby will develop and maintain engineering tools to enhance data science workflows. Responsibilities include optimizing data pipelines, collaborating with infrastructure teams, and leveraging cloud services, Kubernetes, and modern web frameworks to build scalable applications.

As a Senior Software Engineer at dunnhumby, you will assist in designing, developing, and delivering robust applications using C#, .Net Core, and React. You are expected to create automated tests, develop APIs, and have experience with SQL databases, CI/CD tools, and cloud technologies, while contributing to an agile team environment.

As a Research Data Scientist, you will translate complex business problems into data science solutions using state-of-the-art AI algorithms. You will prototype solutions, apply machine learning techniques, conduct rigorous statistical measurements, and research new methodologies to aid dunnhumby's offerings.

The Big Data Engineer will design and implement scalable architecture for data processing, utilizing expertise in SQL, Pyspark, and Python with FastAPI. The role involves managing big data solutions like Spark and Hive, orchestrating workflows with Airflow, and ensuring code quality and testing. Additionally, familiarity with cloud databases and CI/CD practices is advantageous. Strong problem-solving and communication skills are crucial for effective collaboration.