Summary: Lead high-impact data initiatives from ingestion to analytics consumption, combining analytical modeling with cloud-native infrastructure and guiding teams to scalable, reliable data solutions. Highlights: 1. Lead design and evolution of analytical data platforms 2. Build and maintain robust data pipelines using Airflow, dbt, and AWS 3. Act as a technical leader, mentoring peers and collaborating with stakeholders Do you enjoy owning data platforms end\-to\-end—from ingestion and modeling to infrastructure and analytics consumption? Join us to lead high\-impact data initiatives, combining deep analytical modeling with cloud\-native infrastructure, while guiding teams and stakeholders toward scalable, reliable data solutions. **What do we offer?** * Challenging projects * Use state of the art machine learning algorithms and techniques * Opportunity to join a growing startup with multiple professional development opportunities * Work on stuff other people only read about * Excellent work environment, full of highly motivated and talented young professionals. * Opportunity to work on\-site and remotely. **‍ Responsibilities:** * Lead the design and evolution of analytical data platforms, balancing data modeling, performance, and maintainability * Build and maintain robust data pipelines using Airflow, dbt, and AWS\-native services * Design and own dimensional data models that power analytics, reporting, and downstream use cases * Manage and maintain cloud data infrastructure on AWS, including Redshift and ingestion workflows (DMS) * Ensure data reliability, quality, and scalability through proactive monitoring and continuous improvement * Act as a technical leader, guiding decisions, mentoring peers, and collaborating closely with analytics and business stakeholders **If you have:** * Strong seniority in Data Engineering, with a proactive and ownership\-driven mindset * Solid experience in analytics engineering and data modeling, not just ingestion * Hands\-on experience with AWS\-based data stacks * Proven use of Airflow, dbt, Redshift, and DMS in production environments * Strong SQL skills and experience maintaining analytical warehouses * Ability to reason about infrastructure, cost, and scalability trade\-offs * Advanced English **It’s a plus:** * Experience consuming data from SaaS platforms such as HubSpot (CRM), Braze, or Intercom * Background in fintech or high\-growth startups (non\-traditional banking environments) * Experience collaborating directly with product, analytics, or growth teams * Familiarity with data quality frameworks, observability, or FinOps practices * Experience leading or mentoring other data engineers *This call is made within the framework of Law 19\.691 on the Promotion of Employment for Persons with Disabilities, including individuals registered in the National Registry of Persons with Disabilities of the Ministry of Social Development*