22 of 22 Metadata Jobs in the West Midlands

stable batch-first integration strategy with AS400 during its .NET migration, with a roadmap toward API integration. Data Governance & Quality Implement the technical foundation for data governance quality checks, metadata management, and master data validation. Embed business rules and validation logic directly within data pipelines. Define and manage data security and access controls (Azure and Power BI row-level security More ❯

stable “batch-first” integration strategy with AS400 during its .NET migration, with a roadmap toward API integration. Data Governance & Quality Implement the technical foundation for data governance – quality checks, metadata management, and master data validation. Embed business rules and validation logic directly within data pipelines. Define and manage data security and access controls (Azure and Power BI row-level security More ❯

architectures and ETL/ELT processes, with a strong emphasis on performance, security, and data lineage. Proven ability to apply data engineering best practices (e.g., CI/CD, testing, metadata management) to deliver high-quality, production-grade data solutions. Excellent communication and collaboration skills to work effectively within a team. Experience range - 4+ years Why Kwalee? We believe in more More ❯

architectures and ETL/ELT processes, with a strong emphasis on performance, security, and data lineage. Proven ability to apply data engineering best practices (e.g., CI/CD, testing, metadata management) to deliver high-quality, production-grade data solutions. Excellent communication and collaboration skills to work effectively within a team. Experience range - 4+ years Why Kwalee? We believe in more More ❯

concurrently and assume architectural responsibility. Experience working across The Open Group Architecture Framework (TOGAF) Ability to influence at Senior Stakeholder level Experience in Data Visualisation, Data Management solutions for metadata and Data Modelling Experience working within financial services is desirable Experience in working with data lakes is desirable What’s in it for you? Joining BNP Paribas Personal Finance means More ❯

concurrently and assume architectural responsibility. Experience working across The Open Group Architecture Framework (TOGAF) Ability to influence at Senior Stakeholder level Experience in Data Visualisation, Data Management solutions for metadata and Data Modelling Experience working within financial services is desirable Experience in working with data lakes is desirable What’s in it for you? Joining BNP Paribas Personal Finance means More ❯

solutions align with audit objectives. Perform comprehensive data analysis, validation, and integrity checks. Data Governance & Documentation Ensure compliance with data governance standards and regulatory requirements. Maintain accurate data dictionaries, metadata , and workflow documentation for transparency and team collaboration. Optimization & Best Practices Optimize dashboard and data pipeline performance through best practices in data visualization and coding standards . Contribute to the … financial services, banking , or regulatory environments . Familiarity with internal audit processes , risk management , or compliance frameworks . Understanding of data lineage , data governance tools , and best practices in metadata management . Why Join Us? Work on impactful projects that support critical audit and risk operations Be part of a collaborative, expert-driven environment Access to continuous learning, development , and More ❯

play a key role defining Data Governance strategy and frameworks. Ensure Data quality and integrity as well as develop and oversee data quality metrics and KPIs. Manage and oversee Metadata Management practises tools and master data management. Enable a strong Data culture across the business and ensuring Data quality measures and targets and ensuring integrity of Data. Experience required: Strong More ❯

quality, and innovation. You'll need to have experience with the following: Proven background in Data Architecture or Data Modelling at a senior level Strong knowledge of data integration, metadata, and data lifecycle management Experience with data modelling frameworks Sound understanding of governance, compliance, and data ethics Must have experience managing a team Exceptional communication skills If you're passionate More ❯

quality, and innovation. You’ll need to have experience with the following: Proven background in Data Architecture or Data Modelling at a senior level Strong knowledge of data integration, metadata, and data lifecycle management Experience with data modelling frameworks Sound understanding of governance, compliance, and data ethics Must have experience managing a team Exceptional communication skills If you’re passionate More ❯

years’ experience in data governance, data risk management, or control assurance within a regulated financial services or enterprise environment. Strong understanding of data management principles , including data quality, metadata, lineage, access management, and retention. Proven experience in designing, monitoring, and testing data controls in alignment with regulatory and internal governance requirements. More ❯

procedures, and Azure Synapse for data processing. • Guide the team on best practices, architecture, and documentation standards. • Engage with stakeholders to ensure solutions are aligned with business needs. • Integrate metadata sourcing from Collibra and support model curation using tools like Tabular Editor. • Participate in agile ceremonies, code reviews, and solution design reviews. Required Skills & Experience: 12+ years of experience in … Strong expertise in Azure Synapse/MS Fabric, and other related Azure Data management services such as ADF, SQL database, ADLS/Storage Accounts, and Power BI. Familiarity with metadata management tools (e.g., Collibra) and model curation tools (e.g., Tabular Editor). Excellent communication and stakeholder management skills. Experience working in agile environments and leading technical teams. More ❯

procedures, and Azure Synapse for data processing. Guide the team on best practices, architecture, and documentation standards. Engage with stakeholders to ensure solutions are aligned with business needs. Integrate metadata sourcing from Collibra and support model curation using tools like Tabular Editor. Participate in agile ceremonies, code reviews, and solution design reviews. Required Skills & Experience: 10+ years of experience in … engineering, BI, or data architecture roles. Strong expertise in Azure Synapse, ADF, SQL, and Power BI. Proven experience in designing and implementing dimensional models and semantic layers. Familiarity with metadata management tools (e.g., Collibra) and model curation tools (e.g., Tabular Editor). Excellent communication and stakeholder management skills. Experience working in agile environments and leading technical teams. More ❯

in Sparx Enterprise Architect. Collaborates with SMEs to validate models and implement governance frameworks, policies, and data standards. Organises and manages knowledge assets, ensuring compliance with data legislation and metadata best practices. Supports data quality assessment, measurement methods, and solution architecture development. Creates relational database schemas and defines interaction diagrams with HTTP request/response payloads. Ensures stakeholder engagement and More ❯

policies and practices. Establish policies, standards, and procedures for data quality, integrity, data management and meta data management. Set up roles and responsibilities (e.g., data owners, stewards, custodians). Metadata and Master Data Management, Oversee metadata management practices and tools. Work with IT and business units to maintain accurate master and reference data. Enable discoverability and understanding of data assets More ❯

policies and practices. Establish policies, standards, and procedures for data quality, integrity, data management and meta data management. Set up roles and responsibilities (e.g., data owners, stewards, custodians). Metadata and Master Data Management, Oversee metadata management practices and tools. Work with IT and business units to maintain accurate master and reference data. Enable discoverability and understanding of data assets More ❯

provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy * provide input into data dictionaries * define and maintain the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture Communicating between the technical and non-technical Level: working Working is the second of 4 ascending skill levels You can: * communicate effectively … architect) Level: working You can: * develop data standards for a specific component * analyse where data standards have been applied or breached, and undertake an impact analysis of that breach Metadata management Level: working You can: * work with metadata repositories to complete complex tasks such as data and systems integration impact analysis * maintain a repository to ensure information remains accurate and More ❯

provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy provide input into data dictionaries define and maintain the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture Communicating between the technical and non-technical Level: working Working is the second of 4 ascending skill levels You can: communicate effectively … architect) Level: working You can: develop data standards for a specific component analyse where data standards have been applied or breached, and undertake an impact analysis of that breach Metadata management Level: working You can: work with metadata repositories to complete complex tasks such as data and systems integration impact analysis maintain a repository to ensure information remains accurate and More ❯

provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy Provide input into data dictionaries Define and maintain the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture Skills at Working Level Communicate across disciplines : Effectively engage with both technical and non-technical stakeholders, manage team dynamics, and represent the … compliance measures. Model data : Explain data modelling principles, create and maintain models, and reverse-engineer from live systems. Implement data standards : Develop standards, assess compliance, and analyze breaches. Manage metadata : Use repositories for complex tasks and maintain accurate metadata. Solve problems : Investigate issues, consult experts, implement remedies, and suggest preventive actions. Design data architecture : Translate business problems into data designs More ❯

Lead the upgrade, decommissioning, and archiving of data in accordance with data policies. - Collaborate with multidisciplinary teams to translate business problems into effective data solutions. - Maintain data dictionaries and metadata repositories to ensure information remains accurate and compliant. - Provide input into enterprise data governance, standards, and quality assurance processes. - Identify opportunities for innovation through data and emerging technologies. Skills & Experience … Strong experience in data modelling, metadata management, and data standards. - Proficient in SAS tools, particularly SAS Viya 3.5, SAS RTENG, SAS Studio V, and SAS Enterprise Guide. - Familiarity with Oracle database environments and automated data ingestion practices. - Ability to reverse-engineer data models and conduct source system analysis. - Understanding of HMRC data processes or prior experience in government projects. - Familiarity More ❯

Lead the upgrade, decommissioning, and archiving of data in accordance with data policies. - Collaborate with multidisciplinary teams to translate business problems into effective data solutions. - Maintain data dictionaries and metadata repositories to ensure information remains accurate and compliant. - Provide input into enterprise data governance, standards, and quality assurance processes. - Identify opportunities for innovation through data and emerging technologies. Skills & Experience … Strong experience in data modelling, metadata management, and data standards. - Proficient in SAS tools, particularly SAS Viya 3.5, SAS RTENG, SAS Studio V, and SAS Enterprise Guide. - Familiarity with Oracle database environments and automated data ingestion practices. - Ability to reverse-engineer data models and conduct source system analysis. - Understanding of HMRC data processes or prior experience in government projects. - Familiarity More ❯

technology teams to embed sustainable, scalable, and compliant data practices . Key Responsibilities Define, implement, and maintain data governance policies, processes, and reporting structures . Facilitate governance initiatives, including metadata management, stewardship, and ownership models . Design and deliver reporting frameworks that track data quality, risk, and control metrics. Collaborate with client stakeholders to promote data literacy and embed governance … the selection, design, and rollout of governance, quality, and reporting tooling solutions . About You Strong track record in data governance and management within financial services. Deep understanding of metadata, lineage, stewardship, and data ownership frameworks . Experienced in developing and deploying governance and quality reporting frameworks . Excellent communicator capable of explaining complex governance concepts to senior stakeholders . More ❯