1 to 25 of 109 Remote Metadata Jobs in England

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 ❯

Home Office systems, enabling secure, data-driven services that keep the country safe. Working under the vision set by the Principal Data Architect, you'll design robust data models, metadata systems, and governance frameworks to serve diverse stakeholders. Your leadership will span strategic planning, mentoring junior data architects, and aligning technical decisions with business objectives. If you thrive on architecting … will evaluate existing platforms, identify gaps, and recommend optimisations whether via cloud-native services, large-scale distributed data platforms, or modern data warehouses. You'll oversee how data catalogues, metadata systems, and governance frameworks are implemented, championing best practices across multiple programs. By leading data design reviews, you'll ensure alignment with department-wide standards, while also balancing performance, scalability … will help streamline Home Office workflows, promote consistent data usage, and foster innovative ways to harness critical data at scale. Person specification Key responsibilities Design and maintain data models, metadata systems, and data flows that align with the overarching data strategy. Advise and guide data professionals on implementing best practices for data modelling, governance, and metadata management. Collaborate with Technical More ❯

Home Office systems, enabling secure, data-driven services that keep the country safe. Working under the vision set by the Principal Data Architect, you'll design robust data models, metadata systems, and governance frameworks to serve diverse stakeholders. Your leadership will span strategic planning, mentoring junior data architects, and aligning technical decisions with business objectives. If you thrive on architecting … will evaluate existing platforms, identify gaps, and recommend optimisations whether via cloud-native services, large-scale distributed data platforms, or modern data warehouses. You'll oversee how data catalogues, metadata systems, and governance frameworks are implemented, championing best practices across multiple programs. By leading data design reviews, you'll ensure alignment with department-wide standards, while also balancing performance, scalability … will help streamline Home Office workflows, promote consistent data usage, and foster innovative ways to harness critical data at scale. Person specification Key responsibilities Design and maintain data models, metadata systems, and data flows that align with the overarching data strategy. Advise and guide data professionals on implementing best practices for data modelling, governance, and metadata management. Collaborate with Technical More ❯

Home Office systems, enabling secure, data-driven services that keep the country safe. Working under the vision set by the Principal Data Architect, you'll design robust data models, metadata systems, and governance frameworks to serve diverse stakeholders. Your leadership will span strategic planning, mentoring junior data architects, and aligning technical decisions with business objectives. If you thrive on architecting … will evaluate existing platforms, identify gaps, and recommend optimisations whether via cloud-native services, large-scale distributed data platforms, or modern data warehouses. You'll oversee how data catalogues, metadata systems, and governance frameworks are implemented, championing best practices across multiple programs. By leading data design reviews, you'll ensure alignment with department-wide standards, while also balancing performance, scalability … will help streamline Home Office workflows, promote consistent data usage, and foster innovative ways to harness critical data at scale. Person specification Key responsibilities Design and maintain data models, metadata systems, and data flows that align with the overarching data strategy. Advise and guide data professionals on implementing best practices for data modelling, governance, and metadata management. Collaborate with Technical More ❯

or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams to understand data requirements and implement appropriate solutions. • Ensure data quality, integrity, and security throughout the data pipeline. … Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building metadata driven pipelines. • Knowledge of Azure Storage, Medallion Architecture, and working with data formats such as JSON, CSV, and Parquet. • Strong understanding of IT concepts, including security, IAM, Key Vault, and 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 ❯

spotting opportunities to reduce complexity and cost. Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen. Take established best practices and standards defined by the More ❯

criteria of the effort Analyze data lineage documentation and support the creation of data and system flow documentation and process maps Support the updates for key data capabilities including metadata repositories, data dictionaries, data lineage, business process maps, and training materials with the data and system process flows Partner with business data owners required to ensure maintenance of key artifacts More ❯

data owners and curating stewardship roles across the enterprise Champion data literacy initiatives and promote a culture of accountability around data across the organisation Design and implement processes for metadata management, data lineage tracking, and data lifecycle management Provide hands-on configuration and support of Purview (or similar tools), including metadata scanning, asset classification, glossary management, and access control Ensure … and deploy Microsoft Purview in enterprise environments, including integration with other Microsoft data services Policy & Framework Development: Experience authoring and implementing data policies, stewardship models, and governance operating models Metadata & Lineage Management: Strong knowledge of metadata standards, data cataloguing practices, and lineage documentation Stakeholder Engagement: Demonstrated ability to work across business and technical stakeholders, driving consensus and adoption of governance … with other cataloguing tools like Collibra, Informatica, or Alation is a plusFamiliarity with Microsoft Azure data services (e.g. Data Factory, Synapse, Data Lake, etc.) Understanding of modern data architectures, metadata management, and data classification standards Excellent communication and facilitation skills; capable of leading workshops and engaging stakeholders at all levels Experience working in agile, multi-vendor delivery environments Role is More ❯

customer-facing products. Key Responsibilities Lead the architecture and design of robust, scalable data solutions in a modern Azure environment Drive the development of logical and conceptual data models, metadata frameworks, and architecture roadmaps Support and influence the entire data lifecyclefrom ingestion and transformation to analytics and product delivery Collaborate closely with the CDO and engineering team to define the … as a Senior Data Architect or Lead Data Engineer in a modern cloud environment Hands-on knowledge of Azure data services and strong SQL skills Extensive experience in designing metadata-driven pipelines and data warehouse architectures Comfortable defining as-is and to-be states across data ecosystems Strong communication skills with the ability to liaise across technical and business teams More ❯

reporting needs in collaboration with business units. Engage with stakeholders to ensure reporting solutions align with business goals. Apply Agile project management principles to deliver iterative improvements. Support ML metadata extraction and integration into reporting workflows. Use scripting languages (e.g., DAX, M, Python, PowerShell) to support data transformation and automation. Qualifications Minimum 3 years of industry experience in a BI … methodologies and tools (e.g., Jira, Azure DevOps). Excellent communication and stakeholder management skills. Ability to work both independently and collaboratively in a hybrid work environment. Experience with ML metadata extraction and scripting languages is a plus. Experience in the procurement or supply chain industry is a nice to have. Bachelor's degree in Computer Science, Information Systems, or related More ❯

and clean data layers that empower teams across the organization to make informed, data-driven decisions. This is a hands-on role that blends engineering excellence with product thinking, metadata management, and a passion for enabling self-service analytics and data literacy across the business. Key Responsibilities: Build & Maintain Scalable Data Warehousing Solutions: Design, build, and maintain robust ELT pipelines … data products Implement best practices around versioning, SLAs, data contracts, and quality validation Own the end-to-end lifecycle of key datasets, including documentation, testing, monitoring, and maintenance Use metadata, lineage, and usage metrics to ensure data products are trustworthy, discoverable, and valuable Enable Data Democratization & Self-Service: Build intuitive, well-structured data models to empower BI tools (e.g., QuickSight … in SQL and Python for data processing and automation Experience working with data modeling tools and practices (e.g., dimensional, star/snowflake schema, dbt) Solid understanding of data governance, metadata, and quality frameworks Strong collaboration and communication skills, with the ability to work cross-functionally in an Agile environment Exposure to data product management principles (SLAs, contracts, ownership models) Familiarity More ❯

reporting needs in collaboration with business units. Engage with stakeholders to ensure reporting solutions align with business goals. Apply Agile project management principles to deliver iterative improvements. Support ML metadata extraction and integration into reporting workflows. Use scripting languages (e.g., DAX, M, Python, PowerShell) to support data transformation and automation. Qualifications Minimum 3 years of industry experience in a BI … methodologies and tools (e.g., Jira, Azure DevOps). Excellent communication and stakeholder management skills. Ability to work both independently and collaboratively in a hybrid work environment. Experience with ML metadata extraction and scripting languages is a plus. Experience in the procurement or supply chain industry is a nice to have. Bachelor's degree in Computer Science, Information Systems, or related More ❯

continuous improvement in data quality, and ensuring compliance with internal and external regulatory obligations. Key Requirements Strong experience in data governance, regulatory reporting, and data quality management. Proficiency in metadata management and regulatory data documentation. Demonstrated ability to design data controls, perform data profiling, and support remediation planning. Experience building data visualisations and dashboards with Tableau Proficiency in Alteryx, SQL More ❯

continuous improvement in data quality, and ensuring compliance with internal and external regulatory obligations. Key Requirements Strong experience in data governance, regulatory reporting, and data quality management. Proficiency in metadata management and regulatory data documentation. Demonstrated ability to design data controls, perform data profiling, and support remediation planning. Experience building data visualisations and dashboards with Tableau Proficiency in Alteryx, SQL More ❯

Collibra or KADA. Background in financial services or similar regulated environment. Excellent communication and stakeholder engagement skills. Ability to work independently and as part of a team. Understanding of metadata, data quality and data management practices. Knowledge of tools like Alteryx, Power BI, Tableau. Understanding of cloud platforms (e.g., Google Cloud). Familiarity with data engineering or data science concepts. More ❯

and improve governance frameworks . Implement and maintain data quality monitoring , data profiling , and policy enforcement processes . Drive the use of Unity Catalog and similar tools for managing metadata and access control. Build scalable reporting and automation workflows using SQL , Python , and orchestration tools. Partner with stakeholders to improve data trust and culture across structured and unstructured datasets. Contribute More ❯

Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination, openness to innovation. Strong Microsoft Office 365 experience Interested? Please submit your updated CV to Lewis Rushton at Crimson More ❯

and product teams to drive strategic initiatives and promote shared data standards and best practices. YOUR SKILLS AND EXPERIENCE ESSENTIAL CRITERIA: Demonstrated expertise in data management, including governance, quality, metadata, and lifecycle practices, with experience integrating SAP BW/4HANA and AWS analytics for unified finance data solutions. Technically proficient in SQL, Python, and data modelling, with strong knowledge of More ❯

**Analytics Governance Technical Analyst** (Contract) Duration: Until 31 March 2026 (Possibility for extension) Location: London/Hybrid (2-3 days per week on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile Are you More ❯

**Analytics Governance Technical Analyst - AVP** (Contract) Duration: Up until 31 March 2026 (Possibility for extension) Location: London/Hybrid (2 - 3 days per week on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile More ❯

**Analytics Governance Technical Analyst - AVP** (Contract) Duration: Up until 31 March 2026 (Possibility for extension) Location: London/Hybrid (2 - 3 days per week on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile More ❯

of researchers and engineers. Develop scalable distributed systems for processing, filtering, and deploying datasets for machine learning. Process large, unstructured, multi-modal data sources (text, images, 3D models, code, metadata) into ML-ready formats. Conduct experiments on data to derive insights. Create visualizations and summaries to communicate data insights to researchers and leadership. Work with legal and trust teams to … experiments. Preferred Qualifications Experience with databases and data warehousing (Hive, Iceberg). Data transformation skills (SQL, DBT). Experience with orchestration platforms (Airflow, Argo). Knowledge of data catalogs, metadata management, vector databases, relational/object databases. Experience with Kubernetes. Understanding of computational geometry (meshes, boundary representations). Ability to analyze data using tools like Pandas, Matplotlib, Seaborn, Plotly, R. More ❯

Looking For Required: 5+ years in a Pre-sales or Solutions Engineering role, ideally in a data-driven software environment Deep understanding of Data Management disciplines, especially Data Governance, Metadata Management, and Data Lineage Exceptional communication skills - able to connect with technical and non-technical audiences, adapt quickly, and tell compelling stories Track record of running successful demos, Evaluations , and More ❯