Data Modeller

🔒 Confidential Employer
Posted 24 March 2026
LOCATION
Glasgow
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£60,000 / year
CATEGORY
Finance
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Data Modelling SQL Relational Database Design Data Warehousing Data Governance Conceptual Data Modelling Logical Data Modelling Dimensional Modelling

FULL DESCRIPTION

Tasks: Create and optimise data models for investment banking, ensuring quality and compliance.

Company: Join a top-tier bank known for innovation and integrity in financial services.

Benefits: Competitive salary, professional development, and a collaborative work environment.

Why this job: Make an impact in the financial sector with cutting-edge data solutions.

Qualifications: Experience in data modelling and strong SQL skills required.

Other info: Dynamic role with opportunities for growth in a global network.

Data Modeller in Glasgow

Our client is a tier 1 bank, a globally recognised professional services institution operating across major financial markets. The organisation provides a broad range of services including assurance, advisory, tax, risk, regulatory consulting, transaction support, and technology-enabled transformation. With a strong focus on innovation, data-driven decision-making, and regulatory excellence, the bank partners with corporations, governments, and financial institutions to manage risk, enhance performance, and navigate complex financial landscapes.

Role Requirements:

  • Develop conceptual and logical data models across key investment banking domains (e.g. clients, products, trades, positions, risk, finance, market and collateral data).
  • Ensure models align to agreed modelling standards, naming conventions, and reusable design patterns.
  • Translate business requirements into clear, structured data models aligned to authoritative upstream sources.
  • Facilitate workshops with SMEs and data teams to validate definitions and resolve data discrepancies.
  • Embed modelling standards, metadata, and quality controls in line with enterprise data governance frameworks.
  • Operate within a high-throughput, iterative delivery (factory) model, supporting multiple concurrent data products.
  • Collaborate closely with architects, governance, engineering, onsite leadership, and offshore teams to ensure scalable and maintainable solutions.

Required Experience:

  • Proven experience (typically 3-7+ years) in data modelling within financial services, banking, or large enterprise environments.
  • Strong expertise in conceptual, logical, and physical data modelling.
  • Hands-on experience with enterprise data modelling tools (e.g. ERwin, ER/Studio, PowerDesigner, or similar).
  • Advanced SQL skills and strong understanding of relational database design (e.g. Oracle, SQL Server, PostgreSQL).
  • Experience designing and optimising data models for:
  • Data warehouses (Kimball/Inmon methodologies).
  • Data marts.
  • Operational data stores (ODS).
  • Knowledge of dimensional modelling (star/snowflake schemas).
  • Experience working with large-scale, complex, multi-source data environments.
  • Understanding of data governance, metadata management, and data lineage principles.
  • Familiarity with regulatory and risk data frameworks (e.g. BCBS 239) within financial services.
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