Analytics Engineer [DWH] Junior+/Middle

We are looking for an Analytics Engineer to join our DWH team . Our bank runs on data-driven processes, and the DWH team plays a central role in enabling them. We build and maintain data pipelines from internal and external sources, develop data models and marts for reporting and analytics, and create tools that make working with data across the organization more reliable and scalable. In this role, you will work at the intersection of analytics and data engineering, helping domain teams such as Product and Risk turn business requirements into reliable, production-grade data models and transformations. You will work across the data lifecycle — from analysing sources and designing data models to building, improving, and optimising ETL/ELT processes and data marts. Team Timezone: LATAM Challenges that await you: Translating business and analytical requirements into scalable data models and ETL/ELT solutions Analyzing raw and processed data sources to identify the most suitable integration points Designing and developing logical data models and data marts for domain teams Building, maintaining, and optimizing data transformations using SQL and dbt Improving existing data flows and models for scalability, maintainability, and performance Investigating data quality issues and inconsistencies across sources, transformations, and data marts Collaborating with analysts and data engineers to integrate domain-specific data processes with core DWH components Documenting data models, lin