1 to 25 of 26 Metadata Management Jobs in the South East

Data Governance Analyst - Metadata Location: Fareham, once every 2 weeks Contract Type: Permanent, Full-Time Salary: upto £60.000 Start Date: ASAP About the Role We are looking for a Data Governance Analyst - Metadata to join a growing Data Governance team and play a key role in strengthening … data-driven culture across the business. Working within the metadata pillar, you will help deliver and enhance metadata services that support trusted, well-managed, and discoverable data and AI products. This is an exciting opportunity to work with industry-leading tools, including Collibra and Databricks Unity Catalog , while ...

Time, Salary Range: Up to £60k Eastleigh, Hybrid working with travel to Ageas offices when required. (2 days a month) Data Governance Analy st - Metadata : At Ageas, we are continuing to build a strong data-driven culture, and we are looking for a Data Governance Analyst - Metadata to join our growing Data Governance team. This role sits within our metadata pillar, where you will help deliver and evolve metadata services that enable trusted, well-managed and discoverable data and AI products across the organisation. This is a fantastic opportunity to work with leading tools ...

will have genuine visibility and impact. You'll join a collaborative, forward-thinking team delivering modern data solutions across data engineering, governance, migration, quality, metadata management and master data management initiatives. The business offers strong career progression, ongoing investment in technology and the opportunity to work with … modern cloud platforms and tools. Key Responsibilities Design, develop and deploy enterprise-wide data management solutions. Build and optimise ETL/ELT pipelines and automated data workflows. Deliver Data Quality programmes, including data profiling, cleansing, validation and monitoring. Lead and support complex Data Migration projects across multiple source ...

Metadata Lead Job Title: Metadata Lead Start Date: ASAP Contract Type: Permanent, Full Time Salary: upto £80,000 Location: Fareham, once every 2 weeks About the Role We are on a mission to unlock the full value of data and are looking for an experienced Metadata Lead … play a pivotal role in making this a reality. This is a unique opportunity to take ownership of an enterprise metadata capability, shaping how data is discovered, governed, and trusted across the organisation. As the Metadata Lead , you will own the vision and roadmap for the metadata ...

Engineering, BI, and Analytics teams to ensure efficient ingestion, transformation, and reporting solutions. Architect secure and scalable third-party data integrations. Drive data governance, metadata management, and regulatory compliance initiatives, including GDPR requirements. Support data platform governance and data cataloguing capabilities. Optimise data architecture for performance, reliability, scalability … technical and non-technical stakeholders. Required Experience Proven experience in a Data Architect or Enterprise Data Architecture role. Strong background in data governance, data management, and enterprise data modelling. Experience designing solutions across public cloud platforms, particularly Microsoft Azure. Strong SQL Server expertise and experience working within hybrid cloud ...

assure interoperable data solutions across complex business environments. * Collaborate with delivery teams to improve data quality, consistency and reuse. * Contribute to data strategy, metadata management and AI-related initiatives. * Engage with senior stakeholders to influence architectural decisions and long-term direction. What We're Looking For * Experience … Strategy. * Strong understanding of data standards, interoperability and governance. * Experience designing data lakes, data warehouses, lakehouses, data meshes or modern data platforms. * Familiarity with metadata management, data catalogues or related tooling. * Strong stakeholder engagement and influencing skills. * Ability to operate effectively in complex, ambiguous environments. * A strategic mindset ...

data integration solutions Strong understanding of DataOps, DevOps, CI/CD, and Infrastructure as Code Experience with data modelling, data warehousing, and master data management Knowledge of data governance, metadata management, and data quality frameworks Hands-on experience with technologies such as Azure Data Factory, Databricks, Snowflake … Microsoft Fabric, Airflow, or similar Excellent stakeholder management and communication skills Experience mentoring engineers and providing technical leadership Strong analytical and problem-solving abilities Experience working within Agile delivery environments Desirable Experience: Cloud certifications (Azure, AWS, or GCP) TOGAF, DAMA CDMP, or Data Engineering certifications Experience with AI/ ...

reporting issues. Implement monitoring, validation and quality controls across data pipelines. Support the delivery of dashboards, reports and analytical outputs. Maintain data lineage, metadata and technical documentation. Contribute to data architecture and technical design discussions. Support onboarding of new data sources, integrations and technologies. Participate in Agile ceremonies including … reconciliation techniques. Experience creating and optimising reporting datasets and semantic models. Knowledge of data warehouse and data lake architectures. Experience with data governance, metadata management and data lineage. Excellent analytical and problem-solving skills. Experience working within Agile delivery environments. Strong stakeholder engagement and communication skills. ...

data solutions. Practical experience with DataOps, DevOps, CI/CD pipelines, and Infrastructure as Code. Expertise in data modelling, data warehousing, and master data management principles. Strong understanding of data governance, metadata management, and data quality frameworks. Desirable Skills: Professional certifications in AWS, Azure, GCP, or Data ...

DATA PRODUCT CATALOGUE) solution in the target Development environment. Define target architecture for application hosting, database connectivity (PostgreSQL, Neo4j), secrets management, and platform integrations, in line with GDP architectural standards. Lead architecture and Design Authority (DA) governance reviews to secure approval. Assess existing DPC (DATA PRODUCT CATALOGUE) codebase, application … architecture, and deployment artefacts; define refactoring approach to replace local components with enterprise services. Design integration connectivity with enterprise metadata and lineage services. Manage end-to-end delivery plan across design, build, integration, and deployment phases. Coordinate with platform team on environment setup and governance/DA processes. Required ...

layer design to support enterprise reporting Support integration of data from multiple SaaS and third-party systems Ensure best practices across data quality, governance, metadata, and performance optimisation Maintain documentation including data models, data dictionaries, and architecture diagrams Assist with CI/CD pipelines and deployment processes (Azure DevOps … pipelines and integration patterns Strong SQL skills with experience optimising queries and datasets Comfortable guiding and supporting developers without formal leadership responsibility Exposure to metadata management, data governance, and data quality frameworks Experience with CI/CD (Azure DevOps, Gi t) and ideally scripting (Python/PySpark ...

Data Engineering Lead required by our client an international educational establishment to provide the technical engine for the Value Management Office automating the visibility of portfolio performance and benefit realization across the organization. It is responsible for building and maintaining the "Value Dashboard," ensuring that data from disparate systems … Finance, Project Management, and Operations) is integrated to provide a real-time view of strategic ROI. The role holder defines technical standards for value-tracking tools and creates automated data objects that link project outputs to the organisation’s strategic objectives. Role specific skills Full-Stack Analytics Engineering: Mastery ...

modern streaming and event-driven capabilities Driving platform reliability, security and performance improvements Establishing governance frameworks across data and integration environments Supporting automation, release management and engineering excellence initiatives Working with stakeholders to understand strategic data requirements Contributing to technology roadmaps and platform modernisation programmes Supporting the adoption … Lake technologies CI/CD tooling and deployment automation Infrastructure as Code ETL/ELT frameworks API integration and distributed systems Data Governance and Metadata Management What We're Looking For Experience designing enterprise-scale data or integration platforms Strong architecture and solution design capability Experience leading complex ...

senior stakeholders to promote governance as a business-enabling capability. Support governance requirements across analytics, reporting, AI, and machine learning initiatives. Drive improvements in metadata management, data lineage, business glossaries, and data cataloguing. Ensure compliance with data protection, privacy, security, and regulatory obligations. Identify and manage risks relating … compliance, and operational processes. Work alongside architecture and engineering teams to embed governance within cloud-based data platforms. Provide governance input into Master Data Management (MDM) initiatives and strategic data programmes. Champion a strong data culture through awareness, engagement, and education activities. Required Experience Proven experience leading enterprise Data ...

Databricks and related services. Develop and maintain datasets and data models that support analytics and reporting, following established modelling standards Contribute to data lineage, metadata management and cataloguing practices, including exposure to Purview Work closely with the Lead Data Engineer, Analysts and Architects to develop and improve engineering ...

High-Level Design (HLD) for the Data Product Catalogue in the target development environment. Target State Architecture: Define hosting, database connectivity (PostgreSQL, Neo4j), secrets management, and platform integrations in line with enterprise standards. Governance & Approvals: Present to and secure approvals from Design Authority (DA) and architectural governance boards. Codebase … Assess existing DPC codebase, application architecture, and deployment artifacts to replace local components with enterprise services. Enterprise Integration: Design seamless integration connectivity with enterprise metadata, lineage services, IAM, ITSM, and Azure DevOps CI/CD pipelines. Delivery Leadership: Own the end-to-end delivery plan across design, build, integration ...

Solution Architect/Delivery Lead, you will have extensive enterprise solution architecture experience ideally within banking or financial services and proven project management capabilities across complex data engineering programmes. You will be responsible for producing high-level designs, steering solutions through governance frameworks, and managing delivery across the full … assess existing codebases and architectures to define refactoring approaches that replace local components with enterprise services. Knowledge of data mesh/data product concepts, metadata management, and lineage service integrations. Proven delivery/project management experience on enterprise data or platform engineering programmes using Agile/hybrid ...

with Microsoft Purview, working in fast-paced environments, and creating measurable governance outcomes rather than simply advising on strategy. Key Responsibilities Data Lineage & Metadata Management Configure and manage Microsoft Purview scanning and lineage capabilities across key source systems. Establish end-to-end lineage across Microsoft Fabric's Bronze … Sensitivity Labelling Define and apply data classifications and Microsoft Information Protection (MIP) sensitivity labels. Configure automated classification rules and custom classifiers. Develop and maintain metadata standards, taxonomies and governance frameworks. Improve data visibility and protection through effective tagging and governance controls. Access Governance & Security Partner with Information Security teams ...

Familiarity with enterprise data platforms and data mesh principles, including domain-aligned datasets and well-defined data contracts Exposure to data quality, observability, and metadata management practices and tools (data validation frameworks, lineage, monitoring, and alerting) Experience enabling analytics, reporting, and AI/ML workloads through curated datasets ...

full right to work in the UK About the Role We're seeking a Data Governance Consultant/Lead with experience in enterprise data management and information governance. This role suits a confident, senior-facing practitioner who can engage directly with business stakeholders and drive governance maturity across … data policies, and governance metrics Lead data maturity assessments and define frameworks to track progress What You'll Bring experience in enterprise data management/information governance Deep expertise in DAMA-based governance practices, including ownership and stewardship models Proven track record building TOMs, data policies, metrics, and maturity ...

/ELT pipelines and data orchestration frameworks. Ensuring data platform security, compliance, and access controls. Implementing and governing data quality, lineage, observability, and metadata management. Ensuring the sustainability and scalability of our data infrastructure and that it enables the company to achieve its business objectives Data Platform Optimization: Ensuring ...

work to drive growth and influence broader decisions. You will own data platform operations, including ETL/ELT pipelines, security, quality, lineage, observability and metadata management, while driving cost-optimised delivery. #J-18808-Ljbffr ...

leading governance forums, stewardship communities and decision-making structures. Embedding governance controls within Microsoft Fabric and Microsoft Purview, including cataloguing, lineage, classification and metadata management. Driving enterprise data quality management, issue remediation and continuous improvement. Leading Responsible AI governance, including model oversight, transparency, explainability and monitoring. Defining governance … culture where: Business capabilities are aligned to clear data domains and ownership models. Critical business data is trusted, well-defined and fit for purpose. Metadata, lineage and classifications are visible and actively maintained. Data quality issues are identified, managed and resolved through accountable ownership. AI solutions are governed responsibly ...

leading governance forums, stewardship communities and decision-making structures. Embedding governance controls within Microsoft Fabric and Microsoft Purview, including cataloguing, lineage, classification and metadata management. Driving enterprise data quality management, issue remediation and continuous improvement. Leading Responsible AI governance, including model oversight, transparency, explainability and monitoring. Defining governance … culture where: Business capabilities are aligned to clear data domains and ownership models. Critical business data is trusted, well-defined and fit for purpose. Metadata, lineage and classifications are visible and actively maintained. Data quality issues are identified, managed and resolved through accountable ownership. AI solutions are governed responsibly ...

leading governance forums, stewardship communities and decision-making structures. Embedding governance controls within Microsoft Fabric and Microsoft Purview, including cataloguing, lineage, classification and metadata management. Driving enterprise data quality management, issue remediation and continuous improvement. Leading Responsible AI governance, including model oversight, transparency, explainability and monitoring. Defining governance … culture where: Business capabilities are aligned to clear data domains and ownership models. Critical business data is trusted, well-defined and fit for purpose. Metadata, lineage and classifications are visible and actively maintained. Data quality issues are identified, managed and resolved through accountable ownership. AI solutions are governed responsibly ...