Data Modeller/Architect

Posted 07 October 2025
Salary Competitive
LocationLondon
Job type Contract
Discipline Data & AI
Reference75136
Remote working Hybrid/Flexible

Job description

Role Title: Data Modeller / Architect
Location: London
Contract Duration: Until 31 December 2025
Working Arrangement: 2–3 days on site (Hybrid)
Day Rate: £446 (Inside IR35)

Role Overview

We are seeking an experienced Data Modeller / Architect to play a pivotal role in shaping and delivering enterprise data solutions within a leading financial services environment. The successful candidate will design, implement, and optimise data architectures that underpin business intelligence, regulatory reporting, and capital markets operations.

You will work closely with cross-functional stakeholders to ensure data models and frameworks are robust, scalable, and aligned with both business and regulatory requirements.

Key Responsibilities

Design and Development

  • Design and implement enterprise data architecture, including conceptual, logical, and physical data models for capital markets operations and analytics.

  • Develop scalable, high-performance data solutions to support global business functions.

Data Governance & Quality

  • Establish and maintain data governance frameworks, lineage documentation, and quality assurance processes.

  • Ensure the accuracy, consistency, and security of financial and market data.

Technology Selection

  • Evaluate and recommend appropriate data technologies, tools, and cloud platforms to support advanced analytics and data management.

Data Integration

  • Define strategies for integrating diverse data sources across systems and functions, ensuring consistency and interoperability.

Stakeholder Collaboration

  • Partner with data domain leads, business analysts, and technical teams to align data architecture with business objectives and strategic initiatives.

Regulatory Compliance

  • Ensure all data practices adhere to relevant financial regulations, industry standards, and internal risk frameworks.

Strategic Thinking

  • Develop and maintain a long-term data strategy and roadmap that supports the evolving needs of the organisation and capital markets landscape.

Skills and Experience Required

Technical Expertise

  • Extensive experience in data modelling, database design, and SQL.

  • Strong proficiency with data modelling tools and frameworks.

  • Knowledge of ETL tools and cloud data platforms (e.g., AWS, Azure, GCP).

  • Experience with Python and Kafka (desirable).

Data Management

  • Proven background in designing and managing large-scale data warehousing solutions.

  • Strong understanding of data governance, data quality, and metadata management principles.

Capital Markets Knowledge

  • In-depth understanding of banking products, financial instruments, and capital markets operations.

  • Familiarity with risk management frameworks and regulatory data requirements.

Communication & Collaboration

  • Excellent written and verbal communication skills, with the ability to translate complex technical concepts for non-technical audiences.

  • Strong stakeholder management skills and experience working across global teams.

Leadership & Influence

  • Ability to provide technical leadership, mentor junior team members, and foster a collaborative, data-driven culture.