Driivz empowers major service providers that aspire to take a significant role in the e-mobility landscape with a market-leading, end-to-end EV charging and smart energy management software platform. 

Since founding Driivz, our core focus has been on providing a digital services software platform to major players in the EV market. With hypergrowth in EV charging infrastructure, we offer a scalable, intelligent and integrated solution that enables our clients to effectively manage their networks and provide drivers with an exceptional EV charging experience. 

Operating in over 30 countries in the US, Europe and Asia, we enable hundreds of millions of events for millions of EV drivers and manage tens of thousands of public chargers (100,000s in roaming).  

Our customers include global industry players such as: EVgo, Volvo Group, Shell, CircleK, Recharge, Centrica, ESB, ElaadNL, CEZ, Mer, MOL Group, and eMobility Power.  

Join our team to work alongside the most brilliant and disruptive minds that are focused on leading the eMobility industry and building a greener world.

For more information, please visit http://www.driivz.com

We are looking for a highly skilled and experienced Senior Data Engineer to join our team.

In this role, you will be responsible for leading the development, implementation, and maintenance of our business intelligence solutions.

You will work closely with cross-functional teams to gather requirements, design data models, develop dashboards and reports, and provide insights that drive informed decision-making across the organization. 

 Responsibilities: 

• Lead the design, development, and implementation of business intelligence solutions, including data models, ETL processes.
• Collaborate with stakeholders to gather and analyze business requirements and translate them into technical specifications. 
• Design and optimize data warehouse and data marts to support reporting and analytics needs. 
• Create and maintain interactive dashboards, visualizations, and reports using BI tools such as Tableau.
• Perform data analysis to identify trends, patterns, and insights that drive business decisions and improve operational efficiency. 
• Provide technical leadership and mentorship to other BI Analysts/Engineers. 
• Stay current with emerging trends and technologies in business intelligence and analytics. 
• Utilize Snowflake as the cloud-based data warehouse platform for storing and processing large volumes of data efficiently. 
• Implement and manage DBT (data build tool) for data transformation and modeling, ensuring data consistency and integrity across the organization.