This is a hands-on technical role, responsible for designing and operating a robust Azure data platform. You will consolidate enterprise-wide data into a governed, scalable Data Warehouse and integrate internal and external sources to enable secure, AI-driven analytics.You'll work closely with core teams to deliver actionable insights, executive dashboards, and advanced reporting capabilities, ensuring data governance and security at every level.Client DetailsA leading financial services organisation committed to leveraging cutting-edge technology for data-driven decision-making. The firm fosters a culture of innovation and collaboration, empowering its teams to deliver exceptional insights and value.Description* Architect, build, and manage an Azure-based data platform (Data Factory, Synapse, Databricks, ADLS, Azure SQL) * Develop enterprise-grade data pipelines and ETL/ELT flows using Python * Integrate third-party financial data sources via APIs (Bloomberg, PitchBook) * Implement data governance, lineage, and quality frameworks * Enable secure, governed access for analytics and AI-driven toolsJob Offer* Green-filed project with a leading financial services firm. * Competitive compensation and benefits package * Work with cutting-edge AI and cloud technologies in a dynamic setting
* 8+ years in Data Architecture or Data Engineering roles * Strong understanding of Investments and Finance, with ability to engage stakeholders confidently * Proven experience building Data Warehouses or Data Lakes * Advanced proficiency in Python and Azure data services * Expertise in secure architectures, RBAC, and API integration
