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For Companies At a Glance
- Tasks: Lead data modelling for a new enterprise data warehouse in banking.
- Company: Join a global financial bank's EU subsidiary, working across multiple markets.
- Benefits: Enjoy competitive pay, professional growth opportunities, and a collaborative work environment.
- Why this job: Make an impact in finance with cutting-edge data technologies and a focus on compliance.
- Qualifications: 8+ years in data modelling, strong Oracle Data tech skills, and financial data expertise required.
- Other info: Experience with big data platforms and cloud solutions is a plus.
The predicted salary is between 48000 - 84000 £ per year.
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.
Responsibilities
- 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.
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.
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Senior Data Modeller - Banking & Data Warehouse employer: Luxoft
Contact Detail:
Luxoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Modeller - Banking & Data Warehouse
✨Tip Number 1
Make sure to showcase your hands-on experience with Oracle Data technologies during the interview. Be prepared to discuss specific projects where you utilized Oracle SQL, PL/SQL, or Oracle Data Integrator, as this will demonstrate your technical expertise.
✨Tip Number 2
Familiarize yourself with the latest financial regulations and standards such as BCBS 239 and Basel III. Being able to speak knowledgeably about how your data models can support compliance will set you apart from other candidates.
✨Tip Number 3
Prepare examples of how you've collaborated with cross-functional teams in previous roles. Highlighting your ability to communicate complex data concepts to both technical and non-technical stakeholders will show that you're a team player.
✨Tip Number 4
Stay updated on trends in big data platforms and cloud-based solutions. If you have experience with Azure Fabric or similar technologies, be ready to discuss how these can enhance data warehousing efforts in a banking context.
We think you need these skills to ace Senior Data Modeller - Banking & Data Warehouse
Some tips for your application 🫡
Understand the Role: Before you start writing your application, make sure you fully understand the responsibilities and requirements of the Senior Data Modeller position. Familiarize yourself with key terms like data modelling, Oracle Data technologies, and financial data structures.
Tailor Your CV: Customize your CV to highlight your 8+ years of experience in data modelling and database design, especially in banking or financial services. Emphasize your expertise in Oracle SQL, PL/SQL, and any relevant certifications.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your experience with enterprise data warehouses and your understanding of financial regulations like BCBS 239 and Basel III. Use specific examples from your past work to demonstrate your skills.
Highlight Collaboration Skills: Since the role involves working closely with various teams, make sure to mention your collaboration and stakeholder management skills. Provide examples of how you've successfully communicated complex data models to both technical and non-technical stakeholders.
How to prepare for a job interview at Luxoft
✨Showcase Your Data Modelling Expertise
Be prepared to discuss your previous experience in data modelling, especially in banking or financial services. Highlight specific projects where you designed scalable data models and how they supported analytical and operational reporting.
✨Demonstrate Knowledge of Oracle Technologies
Since the role requires strong expertise in Oracle Data technologies, make sure to brush up on Oracle SQL, PL/SQL, and Oracle Data Integrator. Be ready to explain how you've used these tools in past projects to optimize database performance.
✨Understand Financial Regulations
Familiarize yourself with industry standards such as BCBS 239, IFRS, and Basel III. During the interview, be prepared to discuss how your data models can ensure compliance with these regulations and support risk and regulatory reporting.
✨Engage with Stakeholders
Highlight your collaboration skills by sharing examples of how you've worked with business analysts, data engineers, and finance teams. Emphasize your ability to communicate complex data model designs to both technical and non-technical stakeholders.
