Reference Code:  101653

Senior Analytics Engineer


Lisbon, 11, PT


Richemont owns some of the world’s leading luxury goods Maisons, with particular strengths in jewellery, fine watches and premium accessories. Each Maison represents a proud tradition of style, quality and craftsmanship and Richemont seeks to preserve the heritage and identity of each of its Maisons. At the same time, we are committed to innovation and designing new products which are in keeping with our Maisons’ values, through a process of continuous creativity.

Senior Analytics Engineer



Richemont owns some of the world’s leading luxury goods Maisons, with strengths in jewellery, fine watches & premium accessories, including Cartier, Van Cleef & Arpels, Montblanc, Roger Dubuis, Vacheron Constantin, etc.

Richemont has a strong ambition to transform its business model towards New Retail. Part of this transformation is the Group Data Office that, among others, delivers Analytics & Data Science projects for the different Maisons.

The Analytics & Data Science team, belonging to “Group Data Office”, supports this vision by developing analytics and data science use cases, defining best practices across the group, and industrializing analytics & data science solutions. This team is recruiting a Senior Analytics Engineer to work under the Lead Analytics Engineer.




  • Collaborate with stakeholders to understand their data needs and translate them into actionable requirements for data product development.
  • Develop and maintain business-ready data products for analytics purposes using collaborative tools such as dbt or dataform.
  • Leverage analytics platforms available within the Group such as Google Looker to build data visualization solutions and get actionable insights.
  • Oversee the delivery process, from defining project requirements, setting up the right tools and foundations and up-skilling the end users to ensure full ownership of the developed solution.  
  • Maintain the related documentation, materials & data definitions.
  • Set up monitoring tools to evaluate adoption, performance, and issues of final products.
  • Cooperate with the support teams to ensure data consistency, data accuracy, and performance of the delivered flows.
  • Act as an active promotor of data culture and awareness through ongoing training, learning materials and support.


Academic Background


  • Graduate in Master program in Engineering, Computer Science, Information Systems, or a similar field.


Skills & Experience


  • 4+ years of experience in analytics and/or data engineering, ideally in an international context.
  • Ability to translate business needs/constraints into technical terms.
  • Proficiency in SQL programming and developing data models.
  • Experienced with cloud data warehouses, preferable with GCP – BigQuery.
  • Strong knowledge in analytics concepts, tools, and methodologies.
  • Solid knowledge of Looker (LookML)
  • Solid knowledge of data transformation tools such as dbt
  • Scrum methodology knowledge is a plus.



Desired Personal Skills


  • Excellent communication and stakeholder management skills.
  • Fluent English is required.
  • Willingness to grow and evolve in a constantly changing environment.
  • Autonomous, proactive & curious with a strong sense of ownership.
  • Quick learner, able to comprehend & intuit complex problems.
  • Pragmatic mindset to problem solving, and an ability to think critically and objectively.
  • Ease to collaborate in multicultural and multifunctional environments.