1 to 25 of 341 Metadata Jobs in the UK

products and support others to do the same Other Skills Proficiency in developing and maintaining complex data models (conceptual, logical and physical). Strong skills in data governance and metadata management. Experience with data integration design and implementation. Ability to write efficient, maintainable code for large scale data systems. Experience with CI/CD pipelines, version control, and infrastructure-as More ❯

Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data quality frameworks, and metadata management Benefits: Hybrid/remote working environment, allowing you a flexible work-life balance to thrive both in the office and from the comfort of your home Competitive compensation package More ❯

Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data quality frameworks, and metadata management Benefits: Hybrid/remote working environment, allowing you a flexible work-life balance to thrive both in the office and from the comfort of your home Competitive compensation package More ❯

operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks. Accountable for data extraction, transforming JSON & XML, utlising high experience within metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets More ❯

operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks. Accountable for data extraction, transforming JSON & XML, utlising high experience within metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively to both More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively to both More ❯

manage Row-Level Security (RLS) and access controls in Power BI and Azure environments. Ensure alignment with data governance policies, privacy regulations, and retention standards. Maintain comprehensive documentation and metadata for all data assets. 4. Stakeholder Collaboration & Support Partner with analysts, data scientists, and business users to deliver trusted and well-structured data solutions. Provide support for production issues and More ❯

to collaborate across teams. Preferred Qualifications Experience with Databricks Unity Catalog and Delta Live Tables. Familiarity with streaming frameworks (Structured Streaming, Kafka, etc.). Background in data observability and metadata management. Exposure to machine learning pipelines or MLflow within Databricks. Knowledge of infrastructure as code (IaC) using Terraform or similar tools. To apply for this role please email across your More ❯

Lead the design and implementation of data models, pipelines, and integration frameworks. Support the implementation of Customer Data Platforms (CDPs), MDM, and CRM systems. Ensure compliance with data governance, metadata standards, and data quality frameworks. Collaborate with stakeholders to define data architecture vision and roadmap. Contribute to the development of reusable architecture assets and design patterns. Mentor junior team members More ❯

GCP). Proficient in data modelling, integration patterns, and governance frameworks. Experience with BI tools (e.g., Power BI) and semantic modelling. Knowledge of data security, compliance (e.g., GDPR), and metadata management. Desirable: Experience with MLOps, streaming technologies, and regulated sectors. More ❯

Development Design and implement a robust data governance framework, including policies, standards, and procedures. Define data ownership models and appoint data stewards across key domains. Introduce and manage a metadata catalogue to enhance data discoverability and transparency. Establish clear retention, access, and usage policies for various data types. Governance Leadership Set up and lead a Data Governance Council to oversee More ❯

Development Design and implement a robust data governance framework, including policies, standards, and procedures. Define data ownership models and appoint data stewards across key domains. Introduce and manage a metadata catalogue to enhance data discoverability and transparency. Establish clear retention, access, and usage policies for various data types. Governance Leadership Set up and lead a Data Governance Council to oversee More ❯

reliable datasets. Implement data quality monitoring, validation processes, and performance optimisation. Support AI initiatives by designing AI marts, feature engineering structures, and ML-ready datasets. Contribute to standardised KPIs, metadata, and a single source of truth for reporting. Work with business teams to translate complex requirements into scalable, high-impact models. Support agile delivery of data products and continuous improvement More ❯

of experience working in Data Engineering. Proven experience with Databricks, SQL and python/pyspark. Experience working with DevOps or equivalent (git branching etc.) Proven experience working with custom metadata-driven frameworks. Proven experience with data modelling. Ability to create a strong relationship with stakeholders. Excellent communication skills with the ability to collaborate effectively with cross-functional teams. Self-starter More ❯

of experience working in Data Engineering. Proven experience with Databricks, SQL and python/pyspark. Experience working with DevOps or equivalent (git branching etc.) Proven experience working with custom metadata-driven frameworks. Proven experience with data modelling. Ability to create a strong relationship with stakeholders. Excellent communication skills with the ability to collaborate effectively with cross-functional teams. Self-starter More ❯

and other enterprise database platforms Cloud Architecture: Experience with Azure data services (Azure Data Factory, Azure Synapse, Azure Data Lake) Data Governance: Understanding of data quality, data lineage, and metadata management principles. ETL/ELT Processes: Experience designing and implementing data integration workflows. Business Intelligence: Knowledge of reporting and analytics platforms (Power BI, SSRS, or similar) Data Warehousing: Experience with 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 ❯

data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. NICE TO HAVE: Background in data management, engineering, or database administration . Experience with metadata management and master data management (MDM) tools. Understanding of data governance frameworks and compliance standards. Familiarity with machine learning pipelines or AI model integration. A proactive, detail-oriented approach and More ❯

quality aspects of regulatory submissions, audits, and assurance reviews. Skills & Experience: Proven experience leading data quality initiatives in large or regulated organisations.Strong understanding of data governance, data management, and metadata practises.Hands-on experience with data quality tooling (e.g., Microsoft Purview, Informatica, Collibra, Talend).Familiarity with cloud-based data architectures (Azure, Databricks, Power BI).Strong analytical and problem-solving skills, with More ❯

aspects of regulatory submissions, audits, and assurance reviews. Skills & Experience: Proven experience leading data quality initiatives in large or regulated organisations. Strong understanding of data governance, data management, and metadata practises. Hands-on experience with data quality tooling (e.g., Microsoft Purview, Informatica, Collibra, Talend). Familiarity with cloud-based data architectures (Azure, Databricks, Power BI). Strong analytical and problem More ❯

complex, multi-system environments. Experience mapping data flows and lineage across transactional systems, integrations, and reporting platforms. Strong understanding of data management practices: data quality, master data, reference data, metadata, retention, and ownership. Hands-on exposure to at least one modern data and analytics platform (e.g. Azure Data Platform, SQL Server, Oracle, Snowflake, SAP BW/HANA, or similar). More ❯

month Contract Department: Data & Analytics About the Role Seeking an experienced Lead, Data Models for Microsoft Fabric to spearhead the design and oversight of semantic data models, metadata, and end-to-end lineage. This senior, hands-on role ensures full data traceability from ingestion to consumption for quality reporting, strong governance, and confident decision-making. You will build and manage … robust master data and metadata, ensuring definition, risk-assessment, and alignment with enterprise standards. Collaborate closely with Data Architecture, BI & Analytics, and Change Engineering to underpin all reporting with high-quality semantic models, logical lineage, and data glossaries. Key Responsibilities Metadata & Lineage Partner with business analysts and solution designers to embed metadata capture into change and operational processes. Maintain metadata … conversations with stakeholders to address lineage issues. Data Management Tooling & Platforms Support implementation and enhancement of Purview within the Microsoft Fabric ecosystem. Assist with integrating Solidatus, Aperture and other metadata platforms with enterprise tooling. Contribute to automation initiatives and develop improved metadata and lineage metrics. Skills, Knowledge & Experience Essential Extensive experience as a Metadata Manager, Metadata Architect, or similar. Demonstrable More ❯

month Contract Department: Data & Analytics About the Role Seeking an experienced Lead, Data Models for Microsoft Fabric to spearhead the design and oversight of semantic data models, metadata, and end-to-end lineage. This senior, hands-on role ensures full data traceability from ingestion to consumption for quality reporting, strong governance, and confident decision-making. You will build and manage … robust master data and metadata, ensuring definition, risk-assessment, and alignment with enterprise standards. Collaborate closely with Data Architecture, BI & Analytics, and Change Engineering to underpin all reporting with high-quality semantic models, logical lineage, and data glossaries. Key Responsibilities Metadata & Lineage Partner with business analysts and solution designers to embed metadata capture into change and operational processes. Maintain metadata … conversations with stakeholders to address lineage issues. Data Management Tooling & Platforms Support implementation and enhancement of Purview within the Microsoft Fabric ecosystem. Assist with integrating Solidatus, Aperture and other metadata platforms with enterprise tooling. Contribute to automation initiatives and develop improved metadata and lineage metrics. Skills, Knowledge & Experience Essential Extensive experience as a Metadata Manager, Metadata Architect, or similar. Demonstrable More ❯

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 ❯