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, support high‑impact analytics, and enable self‑service solutions. As part of our innovative culture, you will stay ahead of industry trends, experiment with new methodologies, and shape how Dyson uses data.

• Acquire, cleanse, and blend data from multiple sources—internal and external—to enable advanced analytics.
• Build and maintain scalable ETL processes and data models for dashboards, applications, and analytics projects.
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