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Job Description & How to Apply Below
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.
Responsibilities- 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, Pitch Book)
- Implement data governance, lineage, and quality frameworks
- Enable secure, governed access for analytics and AI‑driven tools
- 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
Position Requirements
10+ Years
work experience
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