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Lead Analytics Engineer

Summary

Salary
Competitive
Team
Data Science and Engineering
Location
United Kingdom - Malmesbury Office

About us


We start with an engineering mindset and different thinking, then continuously refine our ideas, unwilling to compromise until we’ve found a better way.

We push the boundaries of what others have defined as possible. Our approach starts with an engineering mindset and different thinking. Then we continuously refine our ideas – unwilling to compromise and driven by an obsession for finding a better way.

About the role

We are currently seeking a Lead Analytics Engineer to join the Business Intelligence Team embedded within the ‘Quality & Sustainability Function’. 
You will be responsible for the strategic development of the Data Platforms used by the Quality & Sustainability functions, encompassing different data domains: CRM, Backoffice, Manufacturing, Consumer Perception, Connected data.


You will collaborate closely with IT to ensure the data platforms ingest, transform and model all relevant information required for the Quality & Sustainability analytics needs, and will work on an small team of analytic engineers focused on the development of the reporting layers of the data platforms.

About you

  • Relevant experience in Cloud Data warehousing
  • Bigquery (or Redshift or Snowflake)
  • Familiarity with implementing data transformation processes in cloud platforms (dbt, Airflowm Matilliion, Talend, Informatica...)
  • DataOps CI/CD
  • Data modelling, Kimball methodology
  • Technical leadership of design processes
  • Hands on background
  • Relevant experience in project and stakeholder management
  • Jira, Kanban/Scrum
  • Translate cross-departmental business needs into data platform development requirements
  • Forward thinking
  • Interest in how business works and desire to improve our performance
  • Self-motivated, dynamic and results-driven
  • Team player, comfortable dealing with all business levels 
  • Ethical, personal integrity
  • Quick learner
  • Willing to be flexible in tasks and activities taken on
  • Thrives on change
  • Attention to detail without losing bigger picture
  • Ability to deliver under pressure


Desirable skills:

  • Python
  • Experience productionising/utilising Data Science projects
  • Exposure to CRM and Backoffice data domains

Benefits

  • 27 days holiday plus eight statutory bank holidays
  • Pension scheme
  • Performance related bonus
  • Private medical insurance
  • Life assurance
  • Sport centre
  • Free on-site parking
  • Subsidised café and restaurants
  • Discounts on Dyson machines

#LI-DYSON


At Dyson, it's about more than our machines. We recognise that our success comes from our inventive people. We believe in including everybody and supporting you on your journey with us

Interview guidance

We are following the government guidelines regarding COVID19. At this time all interviews will be conducted via video or telephone. We’re taking these precautionary measures to protect both our employee and candidate wellbeing. Our Talent Acquisition team will work with you and provide further information as appropriate. 

Closing date: 31 October 2021