- Lead Azure-based data platform architecture in a global investment firm
- Drive innovation with AI-enabled data solutions and executive analytics
About Our Client A 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.
Job 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 tools
The Successful Applicant - 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
What's on 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
Contact
Manpreet Kaur
Quote job ref
JN-012026-6924502