We are a company in full expansion in the iGaming and sports betting sector, operating strategically and integrally to strengthen leading brands in this market. With a solid and continuously growing operation, we aim to consolidate our position among the main digital entertainment companies in the country. Our purpose is to offer safe, innovative and high-quality entertainment experiences, connecting technology, passion for sports, and commitment to excellence. We maintain a strong commitment to good corporate governance practices, based on transparency, responsibility, and business sustainability. We believe that Responsible Gaming goes beyond regulatory requirements—it is a value that guides our decisions and social initiatives. Our culture values people as the organization's main asset, encouraging talent development and promoting a collaborative, well-being-oriented, and high-performance environment. **What you will do:** Design, implement, and document data ingestion, orchestration, and modeling pipelines; Integrate data from multiple sources, ensuring accessibility and quality; Ensure scalability, governance, and data quality across the entire ecosystem; Build and maintain automated solutions for data ingestion and processing; Support strategic decisions with reliable and structured data; Collaborate with product, engineering, and analytics teams to deliver modern and scalable solutions. **What you need to have:** Bachelor's degree in Computer Science, Computer Engineering, Systems Analysis, Mathematics, Statistics, or related fields. Postgraduate degree or MBA in Data Engineering, Data Architecture, Data Science, or related disciplines. Experienced and hands-on engineer with a solid foundation in data architecture, automation, and distributed processing Ability to design and implement robust technical solutions Proactiveness in identifying opportunities for improvement and innovation Ease working in critical and high-availability environments Forward-looking vision to build the technical foundation of the data team **Differentiators:** Previous experience in iGaming or high-availability environments Knowledge of data orchestration tools and data pipeline frameworks Experience with data governance, quality, and security Understanding of cloud, automation, and integration of multiple data sources