4 of 4 Permanent Logical Data Model Jobs in Scotland

today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role Join our fast-growing & collaborative Data-Driven Financial Risk & Compliance (DFRC) team and shape the future of risk and finance! We harness cutting-edge technology, AI-powered models, and cloud-first data platforms to … of a dynamic and inclusive team that's redefining how businesses anticipate, manage, and capitalize on risk. In this role you will have the opportunity to demonstrate the following: Data Model Development: Design, develop and maintain conceptual, logical and physical data models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet business needs. Data Governance Alignment: Ensure models align with data quality, security, and governance policies. While this More ❯

Senior Data Engineer Division – Data, Technology & Innovation Department - Digital Systems Salary - National (Edinburgh and Leeds) ranging from £52,400 to £75,900 and London from £57,000 to £83,450 per annum (salary offered will be based on skills and experience) About the FCA The FCA regulates the conduct of 45,000 firms in the UK to ensure … our financial markets are honest, fair and competitive. Follow this link to find out more About the FCA . What will you be doing? You will design and optimise data structures for products, refine data flows, and ensure outsourced teams follow data models and best practices. You'll collaborate closely with FCA Product Owners, Architects, and Data Engineers in other teams, along with Service Managers and third-party suppliers supporting development. Define and maintain logical and physical data models across products, ensuring consistency and alignment with evolving product capabilities Streamline end-to-end data flows, optimising data ingestion, transformation, storage and consumption for seamless operations Collaborate with development teams to implement scalable More ❯

and scale to capitalise on the key themes shaping the market, through either public markets or alternative asset classes. About the Department The Client Domain is responsible for shaping data capabilities that drive client-focused outcomes. The department works closely with architects, technical leads, and business stakeholders to design, evolve, and communicate data models that underpin our digital … and analytical solutions. About the Role We're looking for a versatile and collaborative Data Modeller/Analyst to join the Client Domain. This role is ideal for someone who thrives in agile environments, enjoys working across strategic and technical domains, and is passionate about shaping data capabilities that drive client-focused outcomes. Key Responsibilities Collaborate with architects … and Domain leadership to define scalable data strategies and models that support business objectives and future readiness. Identify opportunities to reuse and enhance existing data assets, ensuring compliance with governance, security, and regulatory standards. Design and maintain conceptual, logical, and physical data models, translating requirements into actionable specifications. Provide data insights and modelling support throughout More ❯

pace: reach your goals faster with us supporting you each step of the way. Achieve it together: work as a team, collaborating with other Modulites. The Role The Senior Data Analyst will play a pivotal role in educating business functions on data literacy, enabling teams to leverage data effectively to inform business decisions, enhance efficiency, and drive … success, ultimately contributing to the company's strategic goals. This involves actively engaging with stakeholders on how data can best represent insights clearly and accurately. Key responsibilities Actively engage with key stakeholders and subject matter experts (SMEs) to define clear data requirements, using your expertise to negotiate and agree upon practical solutions. Act as a critical liaison between … stakeholders and the Data Engineering team to communicate requirements, especially when new data sources or adjustments to existing ones are necessary. Create and maintain engaging, interactive visualisations that clearly communicate complex data, empowering stakeholders to make informed decisions. Identify and highlight trends and growth opportunities through detailed analysis of diverse datasets, providing actionable insights that drive strategic More ❯