51 to 75 of 441 Metadata Jobs in the UK

years, and is expected to grow further over the next 2-3 years. Accountabilities and Responsibilities Solid knowledge and expertise in the use of data governance, data quality, metadata, profiling, analysis, and data management tools. Support the Compliance Data Domain Lead in the planning and execution of the Data Governance Framework across all prioritised KDUs. Drive the data definition, governance … earn the trust of sponsors and key stakeholders Skills and Experience Essential: Knowledge of Banking Compliance functions and delivery expectations. Working knowledge and understanding of data governance, data quality, metadata, profiling, analysis, and data management tools. Analytically minded with experience in problem solving and being able to communicate workable solutions Understanding of data governance practices. Ability to think in an More ❯

years, and is expected to grow further over the next 2-3 years. Accountabilities and Responsibilities Solid knowledge and expertise in the use of data governance, data quality, metadata, profiling, analysis, and data management tools. Drives the data definition, governance and lineage aspects 'end to end' for each Use Case assigned Responsible for monitoring changes to business data requirements and … the Financing of Terrorism (AML/CFT) space. Knowledge of the Sanctions, Transaction Monitoring, and Fraud framework, requirements and processes. Working knowledge and understanding of data governance, data quality, metadata, profiling, analysis, and data management tools. Analytically minded with experience in problem solving and being able to communicate workable solutions Understanding of data governance practices. Ability to think in an More ❯

years, and is expected to grow further over the next 2-3 years. Accountabilities and Responsibilities Solid knowledge and expertise in the use of data governance, data quality, metadata, profiling, analysis, and data management tools. Drives the data definition, governance and lineage aspects 'end to end' for each Use Case assigned Responsible for monitoring changes to business data requirements and … the Financing of Terrorism (AML/CFT) space. Knowledge of the Sanctions, Transaction Monitoring, and Fraud framework, requirements and processes. Working knowledge and understanding of data governance, data quality, metadata, profiling, analysis, and data management tools. Analytically minded with experience in problem solving and being able to communicate workable solutions Understanding of data governance practices. Ability to think in an More ❯

protection and governance principles. Write and test simple scripts, troubleshoot issues, and contribute to code reviews. Collaborate with analysts, engineers, and governance teams to deliver data solutions. Help with metadata and integration tasks, and support data modelling and transformation. Engage fully with the Level 5 Data Engineering apprenticeship, attending training, mentoring, and completing academic work. Explore new tools and contribute … architecture. 3. Learning and applying Information Governance principles when handling data, ensuring that its storage and use complies with relevant legislation and NHSBSA policies, under guidance. 4. Working with metadata to support tasks such as system and data integration analysis, with support from more experienced colleagues. 5. Helping to maintain documentation and repositories to ensure information about data assets remains More ❯

/CD pipelines using Azure DevOps and infrastructure as code (Terraform, BICEP, ARM). Solid understanding of data engineering, distributed computing, and cloud-native design. Experience in data modelling, metadata management, and data quality practices. Strong communication and stakeholder engagement skills. Self-starter with a proactive mindset and ability to overcome challenges. Empathetic and collaborative team player open to new More ❯

data analysts, data scientists, and other stakeholders to understand their data needs and deliver high-quality data solutions. Key Skills Strong proficiency in SQL, Python, and Spark. Experience with metadata-driven ETL/ELT. Experience with AWS Glue, Databrew, S3, AWS Lambda, PostgreSQL, Quicksight Version Control (Gitlab) and CI/CD Familiar with security and networking principles, especially in an More ❯

functional teams effectively. It would be great if you have: Azure Data Fundamentals DP-900 certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience We’re committed to providing our people with a great environment to work in. You can expect ongoing skills More ❯

Design, implement, and support a platform providing secured access to large datasets. • Interface with tax, finance and accounting customers, gathering requirements and delivering complete BI solutions. • Model data and metadata to support ad-hoc and pre-built reporting. • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. • Recognize and adopt best More ❯

principles of data modelling Re-engineer data pipelines to be scalable, robust, automatable, and repeatable Navigate, explore and query large scale datasets Build processes supporting data transformation, data structures, metadata, dependency and workload management Identify and resolve data issues including data quality, data mapping, database and application issues Implement data flows to connect operational systems, data for analytics and business More ❯

data owners and curating stewardship roles across the enterprise Champion data literacy initiatives and promote a culture of accountability around data across the organisation Design and implement processes for metadata management, data lineage tracking, and data lifecycle management Provide hands-on configuration and support of Purview (or similar tools), including metadata scanning, asset classification, glossary management, and access control Ensure … and deploy Microsoft Purview in enterprise environments, including integration with other Microsoft data services Policy & Framework Development: Experience authoring and implementing data policies, stewardship models, and governance operating models Metadata & Lineage Management: Strong knowledge of metadata standards, data cataloguing practices, and lineage documentation Stakeholder Engagement: Demonstrated ability to work across business and technical stakeholders, driving consensus and adoption of governance … with other cataloguing tools like Collibra, Informatica, or Alation is a plusFamiliarity with Microsoft Azure data services (e.g. Data Factory, Synapse, Data Lake, etc.) Understanding of modern data architectures, metadata management, and data classification standards Excellent communication and facilitation skills; capable of leading workshops and engaging stakeholders at all levels Experience working in agile, multi-vendor delivery environments Role is More ❯

compliance, business intelligence, sharing with applications and organisations Understand industry-recognised data modelling patterns and standards, and when to apply them. Compare and align different data models. Designing appropriate metadata repositories and present changes to existing metadata repositories Understand a range of tools for storing and working with metadata Designing data architecture that deals with problems spanning different business areas More ❯

customer-facing products. Key Responsibilities Lead the architecture and design of robust, scalable data solutions in a modern Azure environment Drive the development of logical and conceptual data models, metadata frameworks, and architecture roadmaps Support and influence the entire data lifecycle-from ingestion and transformation to analytics and product delivery Collaborate closely with the CDO and engineering team to define … as a Senior Data Architect or Lead Data Engineer in a modern cloud environment Hands-on knowledge of Azure data services and strong SQL skills Extensive experience in designing metadata-driven pipelines and data warehouse architectures Comfortable defining "as-is" and "to-be" states across data ecosystems Strong communication skills with the ability to liaise across technical and business teams More ❯

functional teams effectively. It would be great if you have: Azure Data Fundamentals DP-900 certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience Benefits: Up to 10% bonus (based on company and personal performance). An employer pension scheme 25 days holiday More ❯

data management, covering one or more of the following areas: Data governance Data ethics Data modelling Data architecture Data quality Master data management Experience of data lineage, taxonomies and metadata management Strong problem solving and analytical thinking ability, in order to adapt to different client projects and scenarios Excellent written and verbal communication skills that allow you build credibility with More ❯

organisational skills and attention to detail. Preferred Qualifications Microsoft Azure Data Engineer certification. Experience with Azure Synapse Analytics and Power BI. Familiarity with data governance, data quality frameworks, and metadata management. Key Behaviours & Competencies Personal Drive – Resilient and committed to achieving goals through persistent effort. Innovation – Generates new ideas and solutions through original thinking. Results Focus – Aligns team efforts with More ❯

organisational skills and attention to detail. Preferred Qualifications Microsoft Azure Data Engineer certification. Experience with Azure Synapse Analytics and Power BI. Familiarity with data governance, data quality frameworks, and metadata management. Key Behaviours & Competencies Personal Drive - Resilient and committed to achieving goals through persistent effort. Innovation - Generates new ideas and solutions through original thinking. Results Focus - Aligns team efforts with More ❯

implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture, operations, automation and cost management. More ❯

client. You'll manage the delivery of ETL/ELT processes using tools like Matillion, Informatica, or Talend, adhering to data engineering best practices and incorporating things such as metadata driven ETL approaches and near real-time data platform architectures. Innovation & Continuous Improvement You'll stay updated on the latest technologies and industry trends, leveraging insights to shape innovative solutions More ❯

The Role: Sitting at the heart of our data transformation, this role supports the development, implementation, and operation of Data Management Frameworks . You’ll be working with metadata management, data harmonisation, quality score carding, data lineage, and profiling —all critical for building robust data governance. What You’ll Be Doing: ✅ Applying SAS and other analytical tools to extract insights … data challenges Who You Are: 🔥 Passionate about data quality and continuously improving processes 📈 Experienced in SAS , SQL, Power BI, and other analytics tools 🛠️ Skilled in data governance, lineage, and metadata management 📚 Familiar with regulatory frameworks like GDPR, BCBS, CCPA More ❯

The Role: Sitting at the heart of our data transformation, this role supports the development, implementation, and operation of Data Management Frameworks . You’ll be working with metadata management, data harmonisation, quality score carding, data lineage, and profiling —all critical for building robust data governance. What You’ll Be Doing: ✅ Applying SAS and other analytical tools to extract insights … data challenges Who You Are: 🔥 Passionate about data quality and continuously improving processes 📈 Experienced in SAS , SQL, Power BI, and other analytics tools 🛠️ Skilled in data governance, lineage, and metadata management 📚 Familiar with regulatory frameworks like GDPR, BCBS, CCPA More ❯

reporting needs in collaboration with business units. Engage with stakeholders to ensure reporting solutions align with business goals. Apply Agile project management principles to deliver iterative improvements. Support ML metadata extraction and integration into reporting workflows. Use scripting languages (e.g., DAX, M, Python, PowerShell) to support data transformation and automation. Qualifications Minimum 3 years of industry experience in a BI … methodologies and tools (e.g., Jira, Azure DevOps). Excellent communication and stakeholder management skills. Ability to work both independently and collaboratively in a hybrid work environment. Experience with ML metadata extraction and scripting languages is a plus. Experience in the procurement or supply chain industry is a nice to have. Bachelor's degree in Computer Science, Information Systems, or related More ❯

and clean data layers that empower teams across the organization to make informed, data-driven decisions. This is a hands-on role that blends engineering excellence with product thinking, metadata management, and a passion for enabling self-service analytics and data literacy across the business. Key Responsibilities: Build & Maintain Scalable Data Warehousing Solutions: Design, build, and maintain robust ELT pipelines … data products Implement best practices around versioning, SLAs, data contracts, and quality validation Own the end-to-end lifecycle of key datasets, including documentation, testing, monitoring, and maintenance Use metadata, lineage, and usage metrics to ensure data products are trustworthy, discoverable, and valuable Enable Data Democratization & Self-Service: Build intuitive, well-structured data models to empower BI tools (e.g., QuickSight … in SQL and Python for data processing and automation Experience working with data modeling tools and practices (e.g., dimensional, star/snowflake schema, dbt) Solid understanding of data governance, metadata, and quality frameworks Strong collaboration and communication skills, with the ability to work cross-functionally in an Agile environment Exposure to data product management principles (SLAs, contracts, ownership models) Familiarity More ❯

reporting needs in collaboration with business units. Engage with stakeholders to ensure reporting solutions align with business goals. Apply Agile project management principles to deliver iterative improvements. Support ML metadata extraction and integration into reporting workflows. Use scripting languages (e.g., DAX, M, Python, PowerShell) to support data transformation and automation. Qualifications Minimum 3 years of industry experience in a BI … methodologies and tools (e.g., Jira, Azure DevOps). Excellent communication and stakeholder management skills. Ability to work both independently and collaboratively in a hybrid work environment. Experience with ML metadata extraction and scripting languages is a plus. Experience in the procurement or supply chain industry is a nice to have. Bachelor's degree in Computer Science, Information Systems, or related More ❯

and warehouse subject areas (TSA/WDA) for accurate reporting. Work closely with business stakeholders, functional leads and technical teams to identify reporting needs. Provide governance around report development, metadata management and version control. Optimize performance of BI reports and ensure alignment with data security and compliance policies. Mentor and support teams in self-service BI capabilities across OTBI and … Fusion Cloud BI/Reporting. Expertise in Oracle OTBI, BI Publisher, Smart View, Oracle Analytics Cloud. Deep understanding of Fusion subject areas and database structures. Experience in data modeling, metadata and management and KPI Design. Proficiency in SQL, XML and Excel-based reporting tools. Familiarity with Fusion role-based security and data access setups. Strong analytical, communication and documentation skills. More ❯

data quality, integrity and compliance with governance policies and regulatory standards. Collaborate with enterprise architects, DBAs and infrastructure teams to optimize data performance security. Develop and maintain data lineage, metadata and architecture documentation. Support reporting and analytics initiatives by ensuring data availability and consistency across systems. Assist in designing data integration using tools such as OIC (Oracle Integration Cloud), Oracle More ❯