PROJECT DESCRIPTION

Our client is an EU subsidiary of a Global Financial Bank working in multiple markets and asset classes.
We are seeking an experienced Senior Data Modeller to lead data modelling efforts for our new enterprise data warehouse in a banking environment. The ideal candidate will have deep expertise in financial data, strong hands-on experience with Oracle Data technologies, and a proven track record in designing scalable, high-performance data models to support analytical and operational reporting.

SKILLS

Must have
8+ years of experience in data modelling, database design, and data architecture, preferably in banking or financial services.
Strong expertise in Oracle Data technologies, including Oracle SQL, PL/SQL, Oracle Data Integrator (ODI), and Oracle Exadata.
Proven experience in designing enterprise data warehouses (EDW) and data marts.
Strong understanding of financial data structures related to GL, risk, regulatory reporting, and treasury.
Experience working with big data platforms and cloud-based data solutions (e.g., Azure Fabric) is a plus.
Excellent problem-solving, communication, and stakeholder management skills.
Preferred Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Finance, or a related field.
Certifications in Oracle Database, Data Modelling, or Data Warehousing.
Experience in metadata management, data lineage, and data governance tools.
Nice to have
Background in SSIS / SSAS / SSRS
Azure DevTest Labs, ARM templates
Azure PurView

Data Modelling & Architecture
Design, develop, and optimize conceptual, logical, and physical data models for the bank’s new data warehouse.
Ensure data models support regulatory, analytical, and operational reporting needs.
Define and implement data governance, standards, and best practices in data modelling.
Collaboration & Stakeholder Engagement
Work closely with business analysts, data engineers, database administrators, and finance teams to understand data requirements.
Partner with IT teams to ensure seamless integration of Oracle Data technologies within the data warehouse architecture.
Communicate data model designs to technical and non-technical stakeholders.
Financial Data Expertise
Design and optimize data models for banking and finance use cases, including risk, regulatory reporting, general ledger, P&L, liquidity, and capital management.
Ensure compliance with industry standards such as BCBS 239, IFRS, Basel III, and other financial regulations.
Performance Optimization & Implementation
Work with Oracle Data technologies to optimize database performance and ensure efficient data storage and retrieval.
Provide guidance on ETL processes, indexing strategies, and partitioning techniques to improve data access speeds.
Ensure data integrity, consistency, and security within the data warehouse.