76 to 100 of 440 Metadata Jobs in the UK

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 warehouse subject areas (TSA/WDA) for accurate reporting. Work closely with business stakeholders, functional leads and technical teams to identify reporting needs. Provide governance around report development, metadata management and version control. Optimize performance of BI reports and ensure alignment with data security and compliance policies. Mentor and support teams in self-service BI capabilities across OTBI and … Fusion Cloud BI/Reporting. Expertise in Oracle OTBI, BI Publisher, Smart View, Oracle Analytics Cloud. Deep understanding of Fusion subject areas and database structures. Experience in data modeling, metadata and management and KPI Design. Proficiency in SQL, XML and Excel-based reporting tools. Familiarity with Fusion role-based security and data access setups. Strong analytical, communication and documentation skills. More ❯

data quality, integrity and compliance with governance policies and regulatory standards. Collaborate with enterprise architects, DBAs and infrastructure teams to optimize data performance security. Develop and maintain data lineage, metadata and architecture documentation. Support reporting and analytics initiatives by ensuring data availability and consistency across systems. Assist in designing data integration using tools such as OIC (Oracle Integration Cloud), Oracle More ❯

curated data layers efficiently. Build scalable ETL/ELT processes with Azure Data Factory and PySpark. Support data governance initiatives using tools like Azure Purview and Unity Catalog for metadata management, lineage, and access control. Ensure consistency, accuracy, and reliability across data pipelines. Collaborate with analysts to validate and refine datasets for reporting. Apply DevOps and CI/CD best 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 ❯

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 ❯

analysis, and knowledge graphs. - Optimize performance of graph queries and design for scalability. - Support ingestion of large-scale datasets using Apache Beam, Spark, or Kafka into GCP environments. - Implement metadata management, security, and data governance using Data Catalog and IAM. - Work across functional teams and clients in diverse EMEA time zones and project settings. Required Qualifications Bachelor's degree in More ❯

the technical architecture, roadmap and scalable solution design for new and enhanced data centric solutions on Microsoft Fabric and other platforms, including: OneLake, Lakehouses, Data Warehousing and Dataflows & Pipelines Metadata and data lineage management Data governance and master data management (MDM) Integration with on-premise, cloud, and third-party data sources Collaborate with the Lead Data Architect and the Data More ❯

the technical architecture, roadmap and scalable solution design for new and enhanced data centric solutions on Microsoft Fabric and other platforms, including: OneLake, Lakehouses, Data Warehousing and Dataflows & Pipelines Metadata and data lineage management Data governance and master data management (MDM) Integration with on-premise, cloud, and third-party data sources Collaborate with the Lead Data Architect and the Data More ❯

data analysts, data scientists, and other stakeholders to understand their data needs and deliver high-quality data solutions. Key Skills -Strong proficiency in SQL, Python, and Spark. Experience with metadata-driven ETL/ELT. -Experience with AWS Glue, Databrew, S3, AWS Lambda, PostgreSQL, Quicksight -Version Control (Gitlab) and CI/CD -Familiar with security and networking principles, especially in an More ❯

the technical architecture, roadmap and scalable solution design for new and enhanced data centric solutions on Microsoft Fabric and other platforms, including: OneLake, Lakehouses, Data Warehousing and Dataflows & Pipelines Metadata and data lineage management Data governance and master data management (MDM) Integration with on-premise, cloud, and third-party data sources Collaborate with the Lead Data Architect and the Data More ❯

data analysts, data scientists, and other stakeholders to understand their data needs and deliver high-quality data solutions. Key Skills -Strong proficiency in SQL, Python, and Spark. Experience with metadata-driven ETL/ELT. -Experience with AWS Glue, Databrew, S3, AWS Lambda, PostgreSQL, Quicksight -Version Control (Gitlab) and CI/CD -Familiar with security and networking principles, especially in an More ❯

to align data strategies with business goals and deliver measurable value. What We're Looking For: Deep Understanding of Data Management: Proven expertise in data quality, governance, security, and metadata management. Proficiency in Data Management Tools: Strong technical skills in tools like Informatica, Collibra, Talend, and Erwin. Data Modelling and Architecture: Ability to design and implement complex data models and More ❯

user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including More ❯

user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including More ❯

Senior Support Data Engineer Contract: Full-time, Permanent Salary: Up to £60,000 + Benefits + Bonus Location: Remote (2 days per month in Nottingham) About the Role My client is on the lookout for a talented Senior Data Engineer More ❯

Fixed Income SMEs to co-design an interconnected data model supporting analysis across multiple datasets. Translate business and product requirements into clear, maintainable data modelling artifacts. Define and document metadata standards, entity relationships, and model schemas to support semantic alignment and discovery. Create tools and processes to monitor and maintain metadata inventories. Communicate data modelling requirements to stakeholders, and drive … alignment across metadata/modelling functions to ensure practices are well understood & followed. Perform data profiling and root cause analysis to guide objective, data-driven modelling decisions. Promote FAIR data principles across the modelling lifecycle. You'll need to have: Please note we use years of experience as a guide but we certainly will consider applications from all candidates who … are able to demonstrate the skills necessary for the role. 4+ years of experience working with data modelling, metadata design, or semantic data structures Proven ability to work with messy, heterogeneous data sources and convert them into harmonized, queryable formats Strong communication skills, with the ability to influence and drive alignment across technical and business stakeholders Experience working in cross More ❯

and industry standards. Develop, promote, and govern data standards across teams and business units. Act as a champion for data quality and consistency, influencing stakeholders to adopt best practices. Metadata Management Design and implement Data Catalogues and Metadata Repositories to support data discovery and lineage tracking. Use industry tools such as Apache Atlas, Hive Metastore, AWS Glue, or AWS DataZone … to manage metadata assets. Data Architecture & Business Alignment Collaborate with stakeholders to translate business problems into scalable data solutions. Contribute to the design and implementation of modern data platforms including data lakes, data warehouses, data pipelines, data meshes, and data marketplaces. Required qualifications to be successful in this role Proven experience in data modelling, including development of conceptual, logical, and … specifications and conducting technical assurance against established data standards. Demonstrated leadership in the development and governance of data standards within an organisation. Experience designing or developing data catalogues and metadata repositories. Working knowledge of metadata management tools like Apache Atlas, Hive Metastore, AWS Glue, or AWS DataZone. Solid understanding of modern data architectures, with involvement in designing data lakes, data 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 ❯

Management to support the design, leadership, and implementation of large-scale data strategy initiatives. This opportunity is ideal for professionals with a deep understanding of data governance, data quality, metadata management, and AI integration who are ready to play a hands-on, strategic role within complex client environments. The Organisation Our client is a household name in the consulting world … lead engagements that focus on enabling intelligent, secure, and ethical use of data across complex organisations. Key Responsibilities: Provide strategic guidance on data governance frameworks, master data management (MDM), metadata strategy, and data ethics policy development. Lead client engagements across data architecture, data quality, taxonomy, and standards implementation often acting as the bridge between technical teams and executive stakeholders. Use 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 ❯

Our client a London based Technology and Data Engineering leader have an opportunity in a high growth AI Lab for an ‘AI Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming More ❯

Our client a London based Technology and Data Engineering leader have an opportunity in a high growth AI Lab for an ‘AI Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming More ❯

Microsoft Purview (or similar), and engage with emerging technologies such as AI agents and automation. Key Responsibilities: Develop and implement robust data governance frameworks. Drive data cataloguing, classification, and metadata management initiatives, ensuring sensitive and security-critical information is appropriately handled. Collaborate with stakeholders to improve data processes, ensure compliance with GDPR, and promote a culture of data stewardship. Provide … support to teams with clear documentation and guidance on data usage and governance. About You: To be successful in this role, you should have experience with data governance, metadata management, and data quality processes. You should also be familiar with a data governance tool such as Microsoft Purview (or similar) and comfortable working with metadata concepts like data dictionaries, classification More ❯

Microsoft Purview (or similar), and engage with emerging technologies such as AI agents and automation. Key Responsibilities: Develop and implement robust data governance frameworks. Drive data cataloguing, classification, and metadata management initiatives, ensuring sensitive and security-critical information is appropriately handled. Collaborate with stakeholders to improve data processes, ensure compliance with GDPR, and promote a culture of data stewardship. Provide … support to teams with clear documentation and guidance on data usage and governance. About You: To be successful in this role, you should have experience with data governance, metadata management, and data quality processes. You should also be familiar with a data governance tool such as Microsoft Purview (or similar) and comfortable working with metadata concepts like data dictionaries, classification More ❯