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1 week geleden
About the Role:
Luxoft is looking for a seasoned Senior Data Modeller to spearhead data modelling initiatives for our new enterprise data warehouse in the banking sector. The ideal candidate will possess in-depth knowledge of financial data, hands-on experience with Oracle Data technologies, and a track record of designing scalable, high-performance data models to support analytical and operational reporting.
Key Responsibilities:
- Develop and refine conceptual, logical, and physical data models for the bank's new data warehouse.
- Evaluate data models for regulatory, analytical, and operational reporting needs.
- Establish and enforce data governance, standards, and best practices in data modelling.
- Collaborate with business analysts, data engineers, database administrators, and finance teams to determine data requirements.
- Partner with IT teams to integrate Oracle Data technologies seamlessly into the data warehouse architecture.
- Present data model designs to technical and non-technical stakeholders.
Financial Data Specialisation:
- Develop and optimise data models for banking and finance use cases, including risk, regulatory reporting, general ledger, P&L, liquidity, and capital management.
- Comply with industry standards such as BCBS 239, IFRS, Basel III, and other financial regulations.
- Work with Oracle Data technologies to enhance database performance and guarantee efficient data storage and retrieval.
- Offer guidance on ETL processes, indexing strategies, and partitioning techniques to accelerate data access speeds.
- Guarantee data integrity, consistency, and security within the data warehouse.
Requirements:
- At least 8 years of experience in data modelling, database design, and data architecture, preferably in banking or financial services.
- Proficiency 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.
- Detailed understanding of financial data structures related to GL, risk, regulatory reporting, and treasury.
- Certifications in Oracle Database, Data Modelling, or Data Warehousing.
