15 of 15 Data Quality Jobs in Glasgow

practices to create a seamless user experience. By building strong relationships and understanding business requirements and priorities, we aim to transform operations, accelerate growth, and maximise the value of data through an innovative, integrated approach. As Data Management Lead, you'll drive the implementation of robust data practices across SSE Renewables, ensuring data is accessible, trusted … and aligned with business needs. Reporting to the Data and Application Support Manager, you'll provide technical leadership across the data lifecycle-from source systems to end-user applications-and collaborate with the Data Delivery Lead and Application Support Delivery Lead to ensure seamless data flow. You'll also work closely with the Information Management Centre … of Excellence to embed governance and align with organisational standards. Your expertise in SCADA, geospatial data, and enterprise platforms like FME, AGOL, Microsoft Purview, Azure, and Power Platform will support initiatives in data modelling, metadata, quality, and master data management. As the technical lead for SSER's digital data platform, you'll identify opportunities to More ❯

Embark on a transformative journey as a Meta Data Architect . At Barclays, our vision is clear -To define, direct and govern the bank's target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders. … To be successful as a Meta Data Architect, you should have experience with Conceptual and Logical Data Modelling: Demonstrated experience in developing single, conceptual data models for large, multi-layered organisations, that accommodate sometime un-related data which would typically not be present in a generic model (e.g. climate data) Data Modelling Tooling: Previous … experience with digital data modelling tools such as Erwin, ER-Studios Extensive Financial Experience: Have previous modelling experience within large, multinational financial services organisations, such as Insurance, Banking. Some other highly valued skills may include Previous experience using ERStudio to host data models and manage changes to it. Ability to deliver multi-layered messages to audiences with varied More ❯

Embark on a transformative journey as an Enterprise Data Architect. At Barclays, our vision is clear -To define, direct and govern the bank's target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders. To … be successful as an Enterprise Data Architect, you should have experience with: Developing architectural solutions and patterns using latest data engineering approaches, for example data lake, events, API Ability to logically model financial data Excellent written communications skills with experience using structured design languages, for example UML, Archimate or equivalent Some other highly valued skills may … include: Good stakeholder management skills up to C-level execs Understanding of data governance and data management processes and best practice You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills More ❯

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 role requires More ❯

Essential Data Architect or Solution Architecture background Ability to provide respectful and principled challenges based on observance to strategy Strong sense of architectural principles combined with commercial pragmatism Modelling Skills Attention to detail Desirable Data engineering/software development background Purpose of the role To define, direct and govern the bank's target data architecture (inc. shared … data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders. Accountabilities Development of the banks data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan. Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value-driven data usage. Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and More ❯

Purpose of the role To define, direct, and govern the banks target data architecture (including shared data environment, data model, and standards) in support of business strategy, ensuring data accuracy, security, and accessibility to meet stakeholder needs. Accountabilities Develop the bank's data architecture strategy, translating bank-wide goals into a target data architecture … and transition plan. Collaborate with stakeholders such as data operations, engineers, and analysts to promote standardized, consistent, safe, and valuable data usage. Develop and maintain data architecture governance, standards, and protection policies regarding data models, authoritative data stores, and data capabilities to support data quality, accuracy, and confidentiality. Manage project alignment to … the target data architecture by providing guidance, data solutions, and progress monitoring. Define shared reusable data capabilities, assets, tools, and technologies to connect data sources, optimize storage, and enable seamless access. Oversee the data model that structures data logically and physically within the banks data resources, such as databases, interfaces, and reports. Monitor More ❯

Purpose of the role To define, direct, and govern the bank's target data architecture (including shared data environment, data model, and standards) in support of business strategy, ensuring data accuracy, security, and accessibility to meet stakeholder needs. Accountabilities Develop the bank's data architecture strategy, translating bank-wide goals into a target data architecture and transition plan. Collaborate with stakeholders such as data operations, engineers, and analysts to promote standardized, consistent, safe, and valuable data usage. Develop and maintain data architecture governance, standards, and protection policies regarding data models, authoritative data stores, and data capabilities to support data quality, accuracy, and confidentiality. Manage project … alignment to the target data architecture by providing guidance, data solutions, and progress monitoring. Define shared reusable data capabilities, assets, tools, and technologies to connect data sources, optimize storage, and enable seamless access. Oversee the data model that structures data logically and physically within the bank's data resources, such as databases, interfaces More ❯

Join us as Business Insights and Analytics at Barclays, Where you will implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources. To be successful as a Business Insights and Analytics you should have experience with: SQL Experience. … Data Analysis. Visualisation Tools Knowledge. Some other highly valued skills may include: Stakeholder Management. Python Knowledge. Controls Experience. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based … out of Glasgow. Purpose of the role To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources. Accountabilities Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification. Execution of More ❯

Your new company This is an exciting opportunity to join a respected public sector organisation undergoing a major transformation in its data and systems landscape. You'll be part of a forward-thinking team committed to improving data quality, governance, and decision-making capabilities across the organisation. Your new role As a Data Manager, you'll … play a key role in the implementation of a new ERP system. You'll lead on data governance, migration, quality control, and analytics, working closely with IT, finance, and operational stakeholders. Your work will ensure that data is accurate, compliant, and supports strategic decision-making. You'll also contribute to system configuration, reporting, and stakeholder training. What … you'll need to succeed Experience managing data in ERP or large-scale business systems Strong understanding of data governance, quality assurance, and GDPR compliance Proficiency in SQL, Excel, Power BI, Tableau or similar tools Experience working with complex data environments and reporting requirements Excellent communication and stakeholder engagement skills Analytical mindset with attention to detail More ❯

Your new company This is an exciting opportunity to join a respected public sector organisation undergoing a major transformation in its data and systems landscape. You'll be part of a forward-thinking team committed to improving data quality, governance, and decision-making capabilities across the organisation. Your new role As a Data Manager, you'll … play a key role in the implementation of a new ERP system. You'll lead on data governance, migration, quality control, and analytics, working closely with IT, finance, and operational stakeholders. Your work will ensure that data is accurate, compliant, and supports strategic decision-making. You'll also contribute to system configuration, reporting, and stakeholder training. What … you'll need to succeed Experience managing data in ERP or large-scale business systems Strong understanding of data governance, quality assurance, and GDPR compliance Proficiency in SQL, Excel, Power BI, Tableau or similar tools Experience working with complex data environments and reporting requirements Excellent communication and stakeholder engagement skills Analytical mindset with attention to detail More ❯

Storage Accounts. In-depth experience in AI application development. You have previously planned and developed end-to-end solutions. Proficiency in C#, .NET Core, and Python. Experience with Azure Data Factory, Databricks, and either Azure Cosmos DB or Azure SQL Database is beneficial. Experience in designing and maintaining robust CI/CD pipelines, applying Infrastructure as Code (IaC) principles … with exposure to Terraform, and incorporating Azure MLOps practices for seamless deployment, versioning, and traceability of AI models and data Knowledge of DevSecOps principles and data governance best practices to secure AI infrastructure and ensure compliance. The ability to implement automated checks for data quality, model performance, and bias detection to ensure reliable and ethical AI More ❯

this area includes, but is not limited to, Franchise Health/Value, Competitor Intelligence, CLCM Strategy, and Marketing Effectiveness. Purpose of the role To extract meaningful insights from complex data sets, develop robust decision models, and present actionable recommendations to stakeholders across departments. Accountabilities Identify and extract relevant data from internal and external sources. Perform sensitivity analysis and … scenario planning. Monitor and evaluate the performance of existing models. Develop and implement data quality control procedures. Build and validate quantitative models to support decision-making across business areas. Director Expectations Manage a business function, contributing to strategic initiatives, influencing policies, and managing multiple complex projects. Lead a large team or act as a technical expert, coaching less More ❯

to be doing: Design and delivercost-effective, future-proof civils and fibre-optic infrastructure aligned with project timelines and architectural standards Conduct site surveysadhering to safety protocols, ensuring accurate data capture and compliance with regulatory requirements Forecast and documentcapital and operational expenditure, producing detailed, industry-standard design documentation Champion data qualityand consistency across asset and customer systems, supporting … What you'll bring to the role As an experienced, customer-facing Network Planner, you will design infrastructure solutions that meet both business and customer needs, ensuring scalability, high quality, and long-term viability. You'll also have: Expertise in civil and fibre planningwith a strong grasp of local/national regulations and the ability to produce detailed survey … Depotnet, with working knowledge of GE Smallworld and FTTH design methodologies considered advantageous Strong analytical and time management Skills, with experience in forecasting capex/opex and maintaining high data quality standards Field readiness and communicationskills, including willingness to travel for site surveys and experience in customer-facing or partner collaboration roles Diversity, Inclusion & Belonging We're a More ❯

with a solid understanding of finance and investment banking. Strong analytical and problem-solving skills, the ability to manage workload effectively, and experience analyzing P&L and balance sheet data are essential. Clear communication of complex issues to senior stakeholders is required. A professional accountancy qualification (ACA, CIMA, ACCA) or equivalent experience is preferred. You may be assessed on … develop strategies to optimize capital use. Manage process cycles for Planning and Stress Testing, including project delivery. Document regulatory requirements, track processes, and report progress to governance bodies. Manage data quality and flows from contributors to report submission. Oversee BAU systems to enable quick and iterative planning and stress testing. Ensure controls and standards are met in collaboration More ❯

speed, compliance, risk. Monitoring and guiding of controls and compliance requirements to be met through the category and sourcing cycle from request to contract, including regulatory engagement, controls, audits, data quality etc . Development, implementation and operation of policies and procedures for sourcing activities aligned to the policies, standards, relevant compliance and regulation. Identification and delivery of change … function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. More ❯