About us:

At Datatonic, we empower businesses with cutting-edge data and AI solutions in the cloud. Collaborating closely with Google Cloud, we propel our clients to push the boundaries of cloud technology. Built on the robust foundation of the Google Cloud, our solutions enable businesses to fortify their strategies for the future, enhance consumer insights, gain a competitive edge, and streamline operational efficiencies.

Our team consists of experts in architecture, machine learning, data science, data engineering, business intelligence, and design. We all share a passion for data, believe in a pragmatic approach to solving hard problems, and believe that with the right team and technology, data has the power to transform any business.

 
The role:

Join our dynamic team in Geneva! We're on the lookout for a skilled French-speaking Analytics Engineer to be a key player in our expanding operations. As part of our collaborative environment, you'll work on cutting-edge projects, leveraging your expertise in analytics to drive meaningful insights - typically with dbt, Looker and Google Cloud. If you're passionate about data, analytics, and thrive in a fast-paced environment, we want to hear from you. Elevate your career with us and be part of our exciting journey in shaping the future of analytics.

You will work alongside:

+ BI Analysts: Responsible for designing, building and maintaining analytics solutions, with a primary focus on business unit-specific data marts, self-service data models, and building front-end analytical visualisations/reports (typically Looker), and training business users.

+ Architects: Responsible for designing the solution and data architectures. data architects design the end-to-end business intelligence solutions with a focus on designing the most optimal data model and architecture solution.

+ Data Engineers: Responsible for building applications which connect systems, collect data, process that data into a useful format. Often this data is ‘big’ and requires distributed frameworks to move and process. A data engineer is a key cog in a data platform as they look after the acquisition of data for analytics, and connecting the output of analytics to operational systems.

 

Your core goals as an Senior Analytics Engineer are:

+ Build the foundation on top of which our analytics and data science teams will build innovative, impactful solutions with our clients;

+ Help our clients migrate existing business intelligence and data warehouse solutions to Google Cloud;

+ Design and build brand new data warehouse & data mart solutions for our clients;

     + Transforming, testing, deploying, and documenting data

     + Understand data modelling techniques

     + Understand optimisation and storage for warehouse technology

+ Work closely with our tech partners: Google Cloud, Snowflake, dbt and Looker, in understanding their tech inside out and forming a network with their engineers

+ Work in an agile and dynamic environment together with our data engineers, BI analysts, data scientists, and machine learning experts.

+ Apply software engineering best practices to analytics; version control, testing and continuous integration.

 

What qualifications define the successful candidate for this role?

+ Brings a proven track record with several years of experience in analytics engineering, showcasing expertise in SQL and dbt.

+ In addition to strong technical skills, the candidate possesses excellent communication abilities and a solid consulting background, having engaged with clients previously.

+ Fluent in French, they exude confidence in leading business discussions in the language.

+ Their passion for AI and analytics, coupled with a strong drive for professional growth, sets them apart.

+ Bonus points for candidates with prior experience in Google Cloud and Looker, particularly those who have worked in the luxury industry.

 

If you're ready to contribute your skills to a vibrant team and embrace exciting challenges, we invite you to apply!

 

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