1 to 25 of 363 Metadata Jobs in the UK

and engage with, support and lead on the finance data requirements and design for any future systems required for central financial reporting within Government and HM Treasury. Showcase excellent metadata quality management and embed effective processes and procedures in product lifecycles to drive high quality outputs and standards, utilising Project, and Programme Management methodologies, best practices, and ways of working. … dictionary https://assets.publishing.service.gov.uk/media/5b27cf2240f0b634b469fb1a/CS_Behaviours_2018.pdf This role will assess you at the Grade 7 level: Proven experience of establishing data standards, metadata management, data structures, and expertise in data analysis. Experience of Digital Solutions such as ERP (Enterprise Resource Platforms) and EPM (Enterprise Performance Management) Technology, including the best practice application of More ❯

promote the value of data across business and technology teams. Mentor data engineers, BI developers, and other stakeholders in data architecture and best practices. Maintain comprehensive architecture documentation for metadata, data lineage, and data governance. Essential Skills & Qualifications Extensive experience architecting enterprise data solutions and designing scalable data platforms. Proven expertise in data modeling (conceptual, logical, physical), metadata management, and More ❯

teams. Data Integration and Management: Design and implement robust ETL processes to integrate data from various sources into the data warehouse and big data platforms. Oversee the management of metadata, master data, and data lineage across systems. Ensure data consistency, accuracy, and availability for business users. Performance Optimization: Monitor and optimize the performance of data platforms and processes. Implement strategies More ❯

ensuring data quality, integrity, and security across Power BI solutions. Collaborate with theData Governance teamto maintain areport catalogue, data dictionary,and data lineage, leveraging tools likeAtaccama(or similar) for metadata management. Implement role-based access controls, manage row-level security (RLS), and adhere to data privacy regulations and internal policies. Performance Monitoring & Optimization Monitor and optimize Power BI report performance More ❯

BAs to design semantic models and logical data layers to support trusted reporting and analytics. Recommend standards for master data and reference data governance. Support adoption of federated governance, metadata management, and lineage tooling Support the development and implementation of a "data passport" model - a metadata construct that travels with datasets across the estate, capturing critical attributes such as ownership … trusted reporting and analytics. Establish integration patterns between customer platforms and back-office systems (e.g. Finance, HR, CRM). Recommend standards for data modelling, master/reference data, and metadata governance. Collaborate with engineering, product, and commercial leaders to align architecture with business needs. Evaluate third-party APIs and reverse-engineer live system data models as needed. Author agile stories More ❯

solution architects, and data product teams to gather requirements and design solutions. Provide guidance on data integration, transformation, and migration strategies. Establish and maintain enterprise data models, data dictionaries, metadata repositories, and data lineage documentation. Ensure data models comply with organizational policies and regulatory requirements. Optimize data products and their components for performance, scalability, and reliability. Evaluate and recommend data … tools like GitHub Actions or similar. AWS certifications such as AWS Certified Data Engineer. Knowledge of Snowflake, SQL, Apache Airflow, and DBT. Familiarity with Atlan for data cataloging and metadata management. Understanding of iceberg tables. Who we are: We're a global business empowering local teams with exciting work that is making a difference. Our portfolio includes consulting, applications, business More ❯

. Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or More ❯

. Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or More ❯

Governance and Quality Assurance: Embed governance, security, and data quality practices into engineering workflows. Define guardrails and reference implementations for data access control, data lineage, and compliance. Promote consistent metadata management and enforce technical standards to ensure trust in data assets. Stakeholder Engagement: Collaborate with PN D&A leadership, PN product owners, and segment D&A leadership to synchronize and 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 ❯

workflows using technologies such as BigQuery, Dataflow, Informatica, or IBM DataStage, supporting both real-time and batch data processing. Governance & Data Quality Management: Establish comprehensive data governance frameworks, including metadata management and quality assurance, using platforms like Unity Catalog, Alation, Profisee, or DQ Pro. Strategic Advisory & Stakeholder Engagement: Serve as a strategic partner to executive stakeholders (e.g., CDOs, CIOs, Heads More ❯

Governance and Quality Assurance: Embed governance, security, and data quality practices into engineering workflows. Define guardrails and reference implementations for data access control, data lineage, and compliance. Promote consistent metadata management and enforce technical standards to ensure trust in data assets. Stakeholder Engagement: Collaborate with PN D&A leadership, PN product owners, and segment D&A leadership to synchronize and More ❯

Governance and Quality Assurance: Embed governance, security, and data quality practices into engineering workflows. Define guardrails and reference implementations for data access control, data lineage, and compliance. Promote consistent metadata management and enforce technical standards to ensure trust in data assets. Stakeholder Engagement: Collaborate with PN D&A leadership, PN product owners, and segment D&A leadership to synchronize and More ❯

governance, security, and compliance strategies. Lead the integration of core data management capabilities , including: Master Data Management (MDM) solutions for single-source-of-truth data Data catalogue tools for metadata management and discovery Data governance frameworks for policy enforcement, compliance, and lineage tracking Data quality solutions to ensure data accuracy, consistency, and reliability Provide architectural leadership on hub-and-spoke More ❯

analysis, data quality assessment, and reconciliation across systems and sources. Design and improve operational processes through automation, analytics, and system integration. Contribute to the development of data governance frameworks, metadata management, and control structures. Prepare technical and business documentation, including data dictionaries, workflow diagrams, and business requirements documents. Support client workshops, solution testing, and deployment activities. Business Development Support and More ❯

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 More ❯

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 More ❯

with evolving data governance standards. Key Responsibilities Architect Scalable Data Solutions: Design and implement efficient data models and database architectures to support current and future business needs. Develop Documentation & Metadata Standards: Maintain clear and up-to-date architectural documentation, including metadata definitions and data lineage diagrams. Establish Data Standards & Best Practices: Define and enforce data architecture principles, governance policies, and … Azure-based machine learning workflows and Databricks on Azure Designing and optimizing data lakes, warehouses, and pipelines Experience implementing data governance, security standards, and compliance practices. Strong understanding of metadata management, data lineage, and data quality frameworks. Preferred Skills & Knowledge: Familiarity with big data technologies such as Hadoop, Spark, or Kafka Excellent communication skills with the ability to explain complex 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 ❯

expertise. They offer a structured and professional environment, providing employees with opportunities to contribute to impactful projects in a collaborative setting. Description Deep expertise in data governance, data quality, metadata management, profiling, analysis, and related data management tools. Lead the implementation of data governance across Risk and Finance domains, ensuring alignment with BCBS239 regulatory standards. Accountable for end-to-end More ❯

or other people's ideas. A focus on continuous improvement. Desirable: Experience with regulatory reporting frameworks (e.g., BCBS 239, Basel III, MiFID II, FRTB). Familiarity with data lineage, metadata management, and data quality tools. Certifications in Agile, PMP, or BI platforms. Experience working with global teams in a matrixed environment. Bachelor's or Master's degree in Computer Science More ❯

new technologies for potential use in our solutions, particularly in data warehousing, data lakes and real-time streaming. Facilitate and help establish standards and best practices, including data governance, metadata management and ETL processes. Collaborate with other architects and tech leads to construct a repeatable enterprise architecture process that is scalable, adaptable, and in synch with ever-changing business needs More ❯

Data Engineer Bond street 70k ROLE OBJECTIVE This role requires a strong understanding of data architecture, data modelling, and performance optimisation. The role will contribute significantly to the company’s success. There are opportunities for professional development, such as training More ❯

Data Engineer Bond street 50-70k ROLE OBJECTIVE This role requires a strong understanding of data architecture, data modelling, and performance optimisation. The role will contribute significantly to the company's success. There are opportunities for professional development, such More ❯

Data Engineer Bond street 50-70k ROLE OBJECTIVE This role requires a strong understanding of data architecture, data modelling, and performance optimisation. The role will contribute significantly to the company's success. There are opportunities for professional development, such More ❯