Grupo Brisa is looking for a talented Analytics Engineer with high potential to integrate the Data Office team.

Being part of our team means working in a Group of innovative companies with a focus on sustainability and a vision of the future. It means working in a Group that cares about people and their development and well-being (we are proudly certified as Empresa Familiarmente Responsável), with a culture guided by the values of ethics, innovation, excellence and people.

We are an international Mobility Operator, recognized as a leading European Motorway Group. We provide advanced mobility solutions for operators and end customers. With billions of annual transactions and travelers using our systems internationally for 50 years, we have built innovative solutions with interesting lines of research. Brisa Group manages more than 20 companies and around 3,000 employees throughout the country and in the USA.

Role and Responsibilities

• Collaborate within the Data Office, in particular as part of the Engineering and Platforms team, to support the successful roll-out of the Transformation Program;
• Design, develop, and maintain data models and semantic models to support business value delivery through analytics and other data-driven solutions;
• Implement data transformation pipelines within the Data Intelligence Platform, ensuring data is accurate, consistent, and timely;
• Create, optimize, distribute and maintain meaningful dashboards and reports to support business decision-making;
• Work closely with cross-functional teams, including data scientists, analysts, IT professionals, and other stakeholders;
• Implement data validation methods and ensure compliance with data governance and security policies;
• Document and communicate technical processes, architecture, and data flows.

Experience, Skills and Qualifications

• Higher degree in IT, Management, Engineering, or a related field;
• 2+ years as an Analytics Engineer or similar role;
• Strong knowledge of SQL to solve highly complex problems in an optimized way;
• Experience in implementing and maintaining ETL, data models and/or semantic models;
• Ability to abstract business concepts into quantitative metrics (e.g., KPIs, OKRs);
• Knowledge of different database modeling and architecture techniques for analytical purposes (e.g., Data Mart, Data Lake, Data Warehouse)
• Strong experience with data visualization tools (e.g., Power BI, Tableau);
• Knowledge of DataOps practices (e.g., CI/CD, automated testing, version control).

Brisa Group is leading the way to your future, join us!