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.
Design, develop, and deploy machine learning models and statistical analyses to address business problems.
Support the BI function by powering dashboards, enabling self-service analytics, and managing business-facing applications.
Collaborate with data product managers and stakeholders to frame problems, gather requirements, and offer actionable recommendations.
Deliver end-to-end data solutions—from pipeline development and model training, to visualization and insight communication.
Regularly explore new technologies and approaches in data engineering and data science.
Minimum 5 years’ experience extracting, joining, and analyzing data, including supporting advanced analytics and modelling.
Logical, solution-oriented mindset—curious and driven to solve business and customer challenges.
Strong communicator, able to build compelling stories from complex or sparse data.
Proven ability to collaborate with local analytics teams, Group Data Function, and wider stakeholders.
Self-motivated with capacity to deliver practical results in short timeframes.
Degree in Computer Science, Data Science, Business Analytics, or a science/engineering field, or equivalent experience.
Strong Python skills for data manipulation, automation, and model development.
Comfort working with cloud-based platforms (e.g., BigQuery, Redshift); experience querying modern cloud databases.
Experience with dashboard tools (Tableau, Looker), and very strong Excel skills.
Hands-on experience in data cleansing, blending, and preparing data for modelling and analysis.
Track record building machine learning pipelines and working with statistical methods.
Experience building automated ETL pipelines, including deployment on cloud platforms.
Ability to explain complex data models and analytics to business audiences.
Finance or product costing analytics experience.
SAP data extraction know-how.
Experience hosting ETL pipelines on Google Cloud Platform tools.
dbt, Airflow, Docker experience.
App development (App Engine, PowerApps), advanced visualization techniques.
Familiarity with requirement gathering and solution design alongside end users.
This role empowers Dyson to use data and analytics to solve business challenges, speed up decision-making, and push the boundaries of innovation. You’ll help define—not just support—how Dyson finds and applies insight.
Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.
Dyson solves real-world problems and creates better products through the application of engineering, science, design and creativity. It is a family-owned, global technology company, founded by Sir James Dyson who remains at the helm alongside his son Jake.
Since inventing the first cyclonic bagless vacuum cleaner, the DC01, Dyson has consistently invested in research and development to improve its products and technologies radically. Dyson offers products across a growing range of areas: floorcare, air purification, robotics, haircare including formulations, lighting, hand drying, and most recently audio. Dyson continues to expand into new areas.
Today, Dyson sells products in more than 80 markets, has 450 Dyson stores worldwide and is available in all major technology and beauty retailers. Dyson has global headquarters in Singapore and major technology campuses in Singapore, the UK, Malaysia, and the Philippines. Its global team of engineers, scientists and software developers are focused on developing technology-enabled products which work better and which people love to use. Key areas of focus have included high-speed electric digital motors, sensing and vision systems, robotics, machine learning and aerodynamics.
Beyond products, to encourage an inventive future, Dyson is also inspiring the next generation of engineers and inventors through the Dyson Institute of Engineering and Technology, the James Dyson Foundation and the James Dyson Award.
The Dyson family applies its problem-solving approach in other fields, and established Dyson Farming in 2012. It is one of the largest farming businesses in the UK, extending to 36,000 acres across Lincolnshire, Oxfordshire, Gloucestershire and Somerset. It is a family-owned enterprise unlike any other, focussed on long-term investment in British farming and the countryside to grow tasty and nutritious food.
