Data Analytics Engineer/Data Scientist

About the Role You’ll play a hybrid role bridging data engineering and data science, leveraging data from a broad range of sources (e.g. BigQuery, Redshift) and applying advanced analytics to generate actionable business insights. Using tools like Python, SQL, dbt, and visualization solutions, you’ll acquire, clean, and blend data, design robust ETL pipelines, and build models that drive Dyson’s decision-making. You’ll partner directly with teams across the business to deliver practical recommendations that inform strategic decisions. This role requires a strong understanding of data engineering principles, as well as experience working with large datasets and applying machine learning techniques to solve complex problems. The ideal candidate will have a passion for storytelling through data visualization and be able to communicate complex insights effectively to both technical and non-technical stakeholders.