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Job Summary
Key ResponsibilitiesData Engineering & Architecture
- Design, build, and maintain robust data pipelines that ingest, transform, and store structured and unstructured data from multiple sources.
- Design and implement scalable data platform architectures to support evolving business needs
- Manage and optimise database infrastructure for scalability, focusing on query optimization, indexing strategies, high availability, and cost effectiveness.
Data Analysis & Insights
- Develop and maintain a deep technical mastery of the end-to-end data ecosystem
- Deep-dive into raw datasets where required to ensure that data outputs are logically sound, rigorously tested, and provide an accurate reflection of business reality.
- Translate complex data from multiple sources into meaningful insights that support business decision-making across all functions (sales, operations, credit, Finance, Legal).
-Perform high level data analysis to identify trends, risks, and opportunities within lending and financial datasets.
Data Processing and Governance
- Implement data quality checks, monitoring, and performance tracking to ensure the accuracy, completeness, and reliability of datasets.
- Maintain data catalogs and lineage documentation to ensure data is discoverable, governed, and compliant with privacy and compliance regulations.
- Implement and maintain data security best practices and access controls.
Reporting & Dashboards
- Develop and maintain automated SQL-based cloud reporting solutions.
- Build intuitive, insightful BI dashboards for internal stakeholders and clients.
- Ensure reporting is accurate, timely, and aligned to business KPIs.
AI Enablement
- Support and contribute to AI-driven initiatives, including automation and intelligent
decision support.
- Collaborate with stakeholders to identify opportunities where AI can enhance
operational efficiency or customer needs.
User Experience
- Support the development of front-end data interfaces that improve usability and value for internal users and customers.
- Ensure outputs are accessible, visually clear, and user-centric.
Collaboration & Continuous Improvement
- Work closely with business, IT, credit, and product teams to gather requirements, validate solutions, and troubleshoot.
- Take a solution-driven, pragmatic, and collaborative approach to problem solving.
- Stay current with emerging data, analytics, and AI technologies and frameworks, and apply learnings practically.
Minimum Requirements
- Degree in Information Systems, Computer Science, Engineering, Data Science, or a related field.
- Minimum 4 years’ experience in building end-to-end data solutions.
- Proven experience within the financial services or lending sector.
Strong proficiency in:
o Advanced SQL - complex queries, stored procedures, and performance tuning
o Data analysis, reporting, and BI Dashboard development
o ETL/ELT Frameworks, automated workflows, or cloud-native orchestrators.
Advantageous experience :
o Azure cloud data platforms
o BI & visualization tools
o Modern data stacks and streaming services
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