Senior Data Science Engineer ( Automation )

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world's most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. 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, Meijer, Procter & Gamble and Metro. We're looking for a Senior Data Science Engineer (Automation Engineer) to help us automate our project workflows, manage deployment pipelines, and make our delivery processes faster, more reliable, and scalable. You'll play a key role in developing intelligent automation solutions that optimize processes and improve operational efficiency through advanced AI techniques. What You'll Do Automate Python/Pyspark codes for data workflows and collaborate with data scientists to refactor notebooks into production-ready systems. Design, implement, and manage scalable data pipelines that integrate AI-driven automation to enhance data workflows, automate repetitive tasks, and make decisions based on real-time data. Build and integrate tools that enhance automation capabilities, such as job schedulers, version control systems, and monitoring solutions for data science projects. Work closely with data scientists to identify areas for AI-driven process improvements and design solutions that enhance overall workflow efficiency Key Skills & Qualifications 5+ years of relevant experience required Proficiency in Python, with a strong grasp of scripting, automation, and modular design. Experience with AI agents, including techniques such as reinforcement learning, decision trees, autonomous agents, or multi-agent systems to automate and optimize processes. Experience with automation frameworks and tools like Apache Airflow or other orchestration platforms to manage workflows. Solid understanding of Git, version control workflows, and release cycles. Experience deploying to cloud platforms like AWS, GCP, or Azure. Familiarity with Docker and Kubernetes for deploying and managing solutions. Experience with FastAPI, or Flask for API deployment.

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First.