Data Analytics Engineer (Lisbon) (Luxury Retail Sector)

at  Capgemini

DATA ANALYTICS ENGINEER

Capgemini Portugal is currently looking for a Looker Data Engineer to join one of the world’s most prestigious and innovative companies in the luxury industry.
Our Client is the owner of prestigious Maisons distinguished by their craftsmanship, creativity, and technological innovation. Our Client’s ambition is to nurture the unique heritage and values of its Maisons and businesses, while enabling them to grow and prosper in a responsible, sustainable manner over the long term.
To leverage Lisbon’s tech spirit and infuse it into its brand-new Tech Competence Centre, our Client is looking to reinforce its technical capabilities on state-of-the-art technology and respond to the growth of their business. Their Lisbon teams will be an extension of its central Group Platforms teams and will be fully integrated in the core technology workforce. They look forward to welcoming their TCC employees and onboarding them on an exciting adventure managing modern solutions and innovative technologies through global, scaled platforms to create business value with pace and agility.

SKILLS & EXPERIENCE

Mandatory professional experience with Google Looker as LookML developer (at least 1-year working experience)
Experience with Python, gitlab, dbt and complex queries developments in BigQuery
Experience with Looker API is a big plus
Experience with performance tuning (knowledge of monitoring tools & technical solutions to get the best performance)
Experience in business consulting and international exposure
Experience with user support is a plus

DESIRED PERSONAL SKILLS

Proactive
Interest in technology and innovations
Analytical and problem-solving skills
Multitasking, client-oriented and team mindset.

Work closely with Google Looker platform owner to monitor and keep the Google Looker Platform up-to-date.
Monitor and query system activity data using API
Provide daily operational support to business users on LookML, dbt according to the best practices and enable them to continually improve their projects autonomously.
Optimize performance of LookML and dashboards
Setup new projects in Looker and help leveraging Hub&Spoke architecture.
Promote Looker good practices and security culture.
Liaise with software providers on support and innovation topics.
Provide a clear documentation related to the areas under responsibility.
Use Jira to manage backlog and priorities.