Job Opportunities API

We are looking for an experienced Senior Data Engineer with deep expertise in SQL Server, data modelling, and enterprise data warehouse development. You will design, build, and maintain robust data pipelines and data models while supporting the modernization of our existing platform. You will collaborate with business users and technical teams to deliver reliable, high-performance data solutions that meet current and future business needs. The ideal candidate has extensive experience within the banking domain, strong knowledge of banking products, core banking systems, financial data, and hands-on experience with SQL Server, Python, Airflow, and Git. Experience working with legacy technologies such as MS Access, Excel, and text-based data sources is highly valued. Knowledge of Microsoft Azure technologies and hands-on experience with Data Governance best practices will be considered a strong advantage as the bank continues its journey toward a modern cloud-based data platform. As the Data & Advanced Analytics department, we are moving into the heart of data delivery within GarantiBBVA International. We are a small team of ambitious engineers who enjoy solving complex technical challenges and helping the organization become truly data driven. We work closely with business stakeholders to automate reporting processes, onboard new data sources, and deliver high-quality data solutions that support regulatory, financial, and management reporting. Our environment offers the opportunity to modernize legacy systems while building a scalable, enterprise-grade data platform. Key Responsibilities: Data Engineering & Data Warehouse Development Design, develop, and maintain scalable data pipelines supporting regulatory, financial, and management reporting. Develop, enhance, and maintain the enterprise SQL Server data warehouse. Build efficient ETL/ELT processes using SQL, Python, Airflow, and related technologies. Ensure data quality, reliability, performance, and maintainability across the data platform. Support onboarding of new data sources and integration into the enterprise data warehouse. Data Modelling & Database Engineering Design and maintain logical and physical data models that support business and regulatory requirements. Develop advanced T-SQL solutions, including stored procedures, functions, views, triggers, and optimized queries. Optimize database performance and continuously improve scalability and maintainability. Ensure data models support both existing reporting solutions and future analytical requirements. Legacy Platform Modernization Analyze and reverse-engineer legacy solutions built on MS Access, Excel, and flat-file integrations. Replace manual and fragmented processes with automated, scalable, and maintainable data pipelines. Work with limited documentation while understanding and improving existing data flows. Contribute to the gradual modernization of the bank's reporting and data landscape. Tooling & Automation Design, implement, and maintain robust ETL/ELT pipelines using SQL, Python, Airflow, and related technologies. Automate data ingestion, transformation, and validation processes. Develop reusable and maintainable solutions that support current business needs while preparing the platform for future cloud adoption. Continuously improve data engineering processes through automation and standardization. Data Governance & Platform Evolution Promote Data Governance best practices across the enterprise data platform. Contribute to the implementation and adoption of Microsoft Purview as the bank's enterprise Data Governance platform. Support the implementation and adoption of metadata management capabilities, including Data Catalog, Data Lineage, and Data Quality processes, to improve the discoverability, trust, and governance of enterprise data assets. Collaborate with business and technical stakeholders to