1 to 25 of 799 Metadata Jobs in the UK

and analytics. Data Modelling & Design: Design and implement logical and physical data models that support the analytical and modelling requirements of the platform. Define data dictionaries, data lineage, and metadata management processes. Ensure data consistency, integrity, and quality across the platform. Data Integration & Pipelines: Define data integration patterns and establish robust data pipelines for ingesting, transforming, and loading data from … financial markets is highly desirable. Excellent communication, interpersonal, and presentation skills. Strong analytical and problem-solving skills. Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with metadata management tools e.g. Purview. Knowledge of data science and machine learning concepts. Experience with API design and development. #J-18808-Ljbffr More ❯

Standards, hosted in NOVA and engage with, support and lead on thefinancedata requirements and design for any future systemsrequired for central financial reporting within Government and HM Treasury. Showcaseexcellent metadata quality managementand 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. Design … civil services behaviour dictionaryhttps://assets.publishing.service.gov.uk/media/5b27cf2240f0b634b469fb1a/CS_Behaviours_2018.pdf This role will assess you at theGrade 7level: 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 ❯

open architecture and delivery speed. Support the implementation of data governance frameworks, partnering with internal stakeholders to design and implement tools for data lineage tracking, data quality monitoring, and metadata cataloguing. Drive adoption of common standards for data access, tagging, and classification in alignment with regulatory compliance, risk, sovereignty and privacy obligations. Ensure solutions adhere to internal governance standards, including 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 ❯

Master's degree in Computer Science, Engineering, or related technical field 8+ years of experience in enterprise data architecture or systems design Strong knowledge of data governance, lineage, and metadata management principles Proven experience with large-scale data migration projects and cloud transformation Deep understanding of enterprise architecture frameworks and methodologies Experience with financial risk systems and analytics platforms Strong … Programming knowledge (Python, SQL, etc.) DevOps and CI/CD principles Knowledge graph and semantic web technologies Machine learning operations (MLOps) AI-focused data catalog tools Schema registry and metadata management systems Feature store architecture for machine learning PIMCO follows a total compensation approach when rewarding employees which includes a base salary and a discretionary bonus. Base salary is the 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 ❯

GDPR, CCPA); ability to evaluate potential vulnerabilities and recommend mitigations. Ability to identify technical risks and performance bottlenecks, then devise strategies to mitigate or optimize. Understanding of data lineage, metadata management, cataloguing tools, data quality frameworks, and data stewardship processes. Basic knowledge of event streaming tools for real-time data ingestion and processing (Kafka or other). Drive for evaluating More ❯

ensure consistency and compliance with regulatory requirements. • Utilize SQL, data modeling tools (e.g., Erwin, Visio), and scripting languages to define and implement database solutions. • Develop and maintain data dictionaries, metadata management, and schema documentation. • Document data structures, business logic, and workflows to ensure transparency and knowledge sharing within the team. • Optimize dashboard performance and usability by implementing best practices in More ❯

is responsible for hands on design and delivery of the tooling for Data Management – e.g. Data Catalog, Data Quality, Data Lineage. This includes configuring pipelines and connectors to ingest metadata, classify data, and establish data elements within a Business Data Catalog enabling additional data governance activities such as data quality and data lineage. The manager will be hands on and … responsible for tooling related to metadata management, data quality management, reference data management, master data management, amongst others. This role will also support use case development leveraging data elements/attributes through hands on data profiling and data discovery. Main duties and responsibilities Implement comprehensive data cataloging for appropriate data attributes Connect the orchestration and integration of data catalog tooling … effectively Experience developing technical and business lineage Experience developing data quality rules and profiling of data quality using DQ tooling In-depth experience with data management tooling for managing metadata, data quality, reference data and master data amongst others Strong project management skills, with the ability to lead projects from inception to completion Excellent communication skills for interacting with various More ❯

and process improvements. Implement data quality monitoring frameworks to maintain KPI integrity. Translate analytical findings into clear, actionable insights for diverse audiences. Enforce governance standards for self-service BI, metadata, and data access. Lead user acceptance testing (UAT) and conduct training to promote solution adoption. Stay informed on emerging tools and techniques to enhance analytical capabilities. Qualifications and Skills: Proven … Project leadership, prioritization, and cross-team coordination. Stakeholder engagement and communication skills, especially with senior leaders. Experience mentoring analysts and improving analytical maturity. Understanding of data governance, lineage, and metadata management. Familiarity with data warehouse and data lake architectures. Experience with dashboard deployment and release processes. Knowledge of insurance data, especially within the London Market and Lloyd’s, is highly More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively to both More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively to both More ❯

managing large-scale data solutions on Microsoft Azure. Unity Catalog Mastery: In-depth knowledge of setting up, configuring, and utilizing Unity Catalog for robust data governance, access control, and metadata management in a Databricks environment. Demonstrated ability to optimize and tune Databricks notebooks and workflows to maximize performance and efficiency. Experience with performance troubleshooting and best practices for scalable data More ❯

Design and build robust data pipelines with Cloud Composer, Dataproc, Dataflow, Informatica, or IBM DataStage, supporting both batch and streaming data ingestion. Data Governance & Quality: Implement data governance frameworks, metadata management, and data quality controls using Unity Catalog, Profisee, Alation, DQ Pro, or similar platforms. Client Engagement & Advisory: Act as a trusted advisor to clients’ senior leadership (CDOs, CIOs, Heads 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 ❯

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 … 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 More ❯

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 … 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 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 ❯

data policies, standards, and procedures to govern data usage, access, and handling across the organization. Data Stewardship: Partner with data stewards who are responsible for data ownership, classification, and metadata management, ensuring compliance with regulatory requirements. Master Data Management (MDM) : Ensure accountability for the implementation and maintenance of MDM processes to uphold data integrity, quality, and compliance with governance policies. … Data Documentation: Maintain comprehensive data documentation, including data dictionaries, data catalogues, lineage, and data flow diagrams. Data Governance Technical SME: Maintain metadata within key Data Governance Platforms; Microsoft Purview & Profisee (MDM) Authority in Data Project Support: Lead data governance projects and initiatives as needed. Ensure that data projects align with key Data Governance principles through guidance and vigilant oversight. Lead 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 ❯

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. … programming languages, such as Python or Java, with an associated qualification (e.g., Microsoft Azure SQL, Oracle SQL, IBM SQL etc.) You will have 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 ❯

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. … programming languages, such as Python or Java, with an associated qualification (e.g., Microsoft Azure SQL, Oracle SQL, IBM SQL etc.) You will have 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 ❯

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 organisational policies and regulatory requirements. Optimise data products and their components for performance, scalability, and reliability. Evaluate and recommend data … modelling. Experience with CI/CD GITHUB Actions (or similar) Knowledge of Snowflake/SQL Knowledge of Apache Airflow Knowledge of DBT Familiarity with Atlan for data catalog and metadata management Understanding of iceberg tables Who we are: We’re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing More ❯

skills. Preferred Qualifications: Cloud certification (Azure Data Engineer, AWS Certified Database Specialty, etc.). Familiarity with NoSQL or NewSQL databases (MongoDB, Cassandra). Experience with data governance, MDM, and metadata management tools. Working knowledge of DevOps tools (Terraform, Git, Jenkins). #J-18808-Ljbffr More ❯