1 to 25 of 26 Permanent Metadata Jobs in the Midlands

Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, Event Hubs. Proficient in Python, Scala, C#, .NET, and SQL (T-SQL). Skilled in data modelling, quality, and metadata management. Experience with CI/CD and Infrastructure as Code using Azure DevOps and Terraform. Strong analytical, communication, and stakeholder engagement skills. Exposure to machine learning engineering is desirable. Interested More ❯

Microsoft Fabric, Data Factory, OneLake, Dataflows, and Notebooks. Creating robust data models to support analytics and reporting functions. Integrating and transforming data from cloud and on-premise sources using metadata-driven processes. Developing secure, governed multi-tenant data environments with row- and tenant-level access controls. Ensuring data quality, consistency, and compliance across the stack, aligned with industry standards like More ❯

Microsoft Fabric, Data Factory, OneLake, Dataflows, and Notebooks. Creating robust data models to support analytics and reporting functions. Integrating and transforming data from cloud and on-premise sources using metadata-driven processes. Developing secure, governed multi-tenant data environments with row- and tenant-level access controls. Ensuring data quality, consistency, and compliance across the stack, aligned with industry standards like More ❯

team as you solve challenging problems together. Experience across UK Healthcare sector or Public Sector Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. Track record of providing technical leadership within data projects including assurance, mentoring and standards definition. Aware of best practice techniques and methodologies. More ❯

and Exchange Information/Data Security, Governance, Management & Compliance including Data Privacy, Data Lifecycle Management, Legislation, Disaster Recover and Backup Data Architecture Design - Data Modelling, Master Data Management (MDM), Metadata Management and Data Governance API Management - Experience designing and implementing APIs (REST/JSON, SOAP/XML, GraphQL), including API lifecycle management, API gateways, HTTP transport and security such as More ❯

translating technical design into plain English for execs and end-users. A modern view of architecture collaborative, evolutionary and business-led. Broad knowledge of cloud data platforms, integration and metadata management tools. Why this role Architecture with real influence direct access to execs and freedom to set the playbook. Join a mission-led organisation investing heavily in data transformation. £95k More ❯

translating technical design into plain English for execs and end-users. A modern view of architecture collaborative, evolutionary and business-led. Broad knowledge of cloud data platforms, integration and metadata management tools. Why this role Architecture with real influence direct access to execs and freedom to set the playbook. Join a mission-led organisation investing heavily in data transformation. £95k More ❯

to implement technical and on-page SEO improvements. · Website Migrations: Plan and manage SEO aspects of site migrations, ensuring minimal disruption to rankings and visibility. · On-Page Excellence: Optimise metadata, headings, structured data, and other on-page elements to maintain a best-in-class standard. · Content Quality: Monitor and guide content creation to ensure it's user-focused, intent-driven More ❯

the business. Key Responsibilities Support the delivery of SEO strategies across technical, on-page, and content optimisation Conduct keyword research, competitor analysis, and content gap reviews Optimise landing pages, metadata, headings, and internal linking Work with content teams to brief, optimise, and update content for search Identify technical SEO issues and support resolutions with dev teams Monitor organic performance and More ❯

Responsibilities: Develop data warehousing blueprints, evaluate hardware/software platforms, and integrate systems. Assess reusability of current data for analysis. Design data warehouses, including data design, database architecture, and metadata management. Build relational databases, perform data access analysis, and design archive/recovery processes. Review and develop object/data models and metadata repositories for better data management. Knowledge of 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 ❯

Skills and Experience: Proven experience designing geospatial data architectures in large enterprise or public sector environments. Proficiency with EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing … governance model. Role and Responsibilities: Develop conceptual, logical, and physical data models for geospatial and land data using EA Sparx for design and documentation. Define data standards, schemas and metadata frameworks to ensure consistency and interoperability across the organisation. Design solutions that distinguish between live, validated and historical datasets while supporting both batch and streaming-based processing. Conduct gap analyses More ❯

Skills and Experience: Proven experience designing geospatial data architectures in large enterprise or public sector environments. Proficiency with EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing … governance model. Role and Responsibilities: Develop conceptual, logical, and physical data models for geospatial and land data using EA Sparx for design and documentation. Define data standards, schemas and metadata frameworks to ensure consistency and interoperability across the organisation. Design solutions that distinguish between live, validated and historical datasets while supporting both batch and streaming-based processing. Conduct gap analyses More ❯

Skills and Experience: Proven experience designing geospatial data architectures in large enterprise or public sector environments. Proficiency with EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing … governance model. Role and Responsibilities: Develop conceptual, logical, and physical data models for geospatial and land data using EA Sparx for design and documentation. Define data standards, schemas and metadata frameworks to ensure consistency and interoperability across the organisation. Design solutions that distinguish between live, validated and historical datasets while supporting both batch and streaming-based processing. Conduct gap analyses More ❯

Skills and Experience: Proven experience designing geospatial data architectures in large enterprise or public sector environments. Proficiency with EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing … governance model. Role and Responsibilities: Develop conceptual, logical, and physical data models for geospatial and land data using EA Sparx for design and documentation. Define data standards, schemas and metadata frameworks to ensure consistency and interoperability across the organisation. Design solutions that distinguish between live, validated and historical datasets while supporting both batch and streaming-based processing. Conduct gap analyses More ❯

Skills and Experience: Proven experience designing geospatial data architectures in large enterprise or public sector environments. Proficiency with EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing … governance model. Role and Responsibilities: Develop conceptual, logical, and physical data models for geospatial and land data using EA Sparx for design and documentation. Define data standards, schemas and metadata frameworks to ensure consistency and interoperability across the organisation. Design solutions that distinguish between live, validated and historical datasets while supporting both batch and streaming-based processing. Conduct gap analyses More ❯

Skills and Experience: Proven experience designing geospatial data architectures in large enterprise or public sector environments. Proficiency with EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing … governance model. Role and Responsibilities: Develop conceptual, logical, and physical data models for geospatial and land data using EA Sparx for design and documentation. Define data standards, schemas and metadata frameworks to ensure consistency and interoperability across the organisation. Design solutions that distinguish between live, validated and historical datasets while supporting both batch and streaming-based processing. Conduct gap analyses More ❯

Skills and Experience: Proven experience designing geospatial data architectures in large enterprise or public sector environments. Proficiency with EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing … governance model. Role and Responsibilities: Develop conceptual, logical, and physical data models for geospatial and land data using EA Sparx for design and documentation. Define data standards, schemas and metadata frameworks to ensure consistency and interoperability across the organisation. Design solutions that distinguish between live, validated and historical datasets while supporting both batch and streaming-based processing. Conduct gap analyses More ❯

Skills and Experience: Proven experience designing geospatial data architectures in large enterprise or public sector environments. Proficiency with EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing … governance model. Role and Responsibilities: Develop conceptual, logical, and physical data models for geospatial and land data using EA Sparx for design and documentation. Define data standards, schemas and metadata frameworks to ensure consistency and interoperability across the organisation. Design solutions that distinguish between live, validated and historical datasets while supporting both batch and streaming-based processing. Conduct gap analyses More ❯

Skills and Experience: Proven experience designing geospatial data architectures in large enterprise or public sector environments. Proficiency with EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing … governance model. Role and Responsibilities: Develop conceptual, logical, and physical data models for geospatial and land data using EA Sparx for design and documentation. Define data standards, schemas and metadata frameworks to ensure consistency and interoperability across the organisation. Design solutions that distinguish between live, validated and historical datasets while supporting both batch and streaming-based processing. Conduct gap analyses More ❯

Skills and Experience: Proven experience designing geospatial data architectures in large enterprise or public sector environments. Proficiency with EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing … governance model. Role and Responsibilities: Develop conceptual, logical, and physical data models for geospatial and land data using EA Sparx for design and documentation. Define data standards, schemas and metadata frameworks to ensure consistency and interoperability across the organisation. Design solutions that distinguish between live, validated and historical datasets while supporting both batch and streaming-based processing. Conduct gap analyses More ❯

Skills and Experience: Proven experience designing geospatial data architectures in large enterprise or public sector environments. Proficiency with EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing … governance model. Role and Responsibilities: Develop conceptual, logical, and physical data models for geospatial and land data using EA Sparx for design and documentation. Define data standards, schemas and metadata frameworks to ensure consistency and interoperability across the organisation. Design solutions that distinguish between live, validated and historical datasets while supporting both batch and streaming-based processing. Conduct gap analyses More ❯

Skills and Experience: Proven experience designing geospatial data architectures in large enterprise or public sector environments. Proficiency with EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing … governance model. Role and Responsibilities: Develop conceptual, logical, and physical data models for geospatial and land data using EA Sparx for design and documentation. Define data standards, schemas and metadata frameworks to ensure consistency and interoperability across the organisation. Design solutions that distinguish between live, validated and historical datasets while supporting both batch and streaming-based processing. Conduct gap analyses More ❯

Skills and Experience: Proven experience designing geospatial data architectures in large enterprise or public sector environments. Proficiency with EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing … governance model. Role and Responsibilities: Develop conceptual, logical, and physical data models for geospatial and land data using EA Sparx for design and documentation. Define data standards, schemas and metadata frameworks to ensure consistency and interoperability across the organisation. Design solutions that distinguish between live, validated and historical datasets while supporting both batch and streaming-based processing. Conduct gap analyses More ❯

Skills and Experience: Proven experience designing geospatial data architectures in large enterprise or public sector environments. Proficiency with EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing … governance model. Role and Responsibilities: Develop conceptual, logical, and physical data models for geospatial and land data using EA Sparx for design and documentation. Define data standards, schemas and metadata frameworks to ensure consistency and interoperability across the organisation. Design solutions that distinguish between live, validated and historical datasets while supporting both batch and streaming-based processing. Conduct gap analyses More ❯