26 to 50 of 639 Metadata Jobs in the UK

while defining integration patterns across core WAM platforms.Establish robust data quality, reconciliation and control frameworks, alongside master and reference data strategies aligned to governance, metadata, privacy and stewardship, with appropriate audit trails, review and escalation pathways for AI-enabled processes.Act as a subject matter expert, translating complex technical concepts into ...

data governance controls within engineering solutions. • Support data quality monitoring, issue resolution, and continuous improvement. • Contribute to and maintain technical documentation, data lineage, and metadata artefacts. • Ensure compliance with data security, privacy, and regulatory requirements. Continuous Improvement: Promote modern engineering and delivery practices across the data team. Introduce automation, optimisation ...

planning and adoption of emerging Microsoft Fabric capabilities. Design monitoring, disaster recovery, and business continuity strategies for critical data services. Promote effective data governance, metadata management, and catalogue standards. Mentor engineers and provide technical leadership across multiple data initiatives. Required Skills & Experience 5 years' experience in Data Engineering within cloud ...

Strong knowledge of conceptual, logical and physical data modelling. Experience designing data architectures across complex organisations or programmes. A strong understanding of data governance, metadata management, data lineage and data quality. Experience integrating data across multiple systems, platforms and organisational boundaries. Knowledge of modern cloud-based data platforms and architectural ...

storage, relational DBs, APIs, event streams) and implement robust ingestion patterns. Apply data governance and security best practices (access controls, secrets management, lineage/metadata, auditing). Create clear documentation for pipelines, data contracts, and operational runbooks. Leverages enterprise-authorized AI coding assist tools within the work environment to improve ...

based technologies. Extensive expertise in Data Integration and Orchestration technologies including Azure Data Factory, Glue, APIs, MuleSoft, and Informatica. Proven experience with Data Governance, Metadata Management, Data Quality, Data Lineage, Master Data Management, and enterprise data catalogues. Strong knowledge of Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), LLM integration ...

Secure Government Data Architecture Practice. About you Technical expertise Area: Enterprise Data Architecture; Solution Data Architecture; Data Strategy; Information Architecture; Data Modelling; Data Governance; Metadata Management; Master Data Management; Data Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data Integration: Azure Data ...

patterns (ETL/ELT, API‐led connectivity). Strong capability to design distributed, highly available, and secure data pipelines. Information Architect: Deep expertise in metadata management, master data management (MDM), and reference data management. Proven ability to construct enterprise taxonomies, ontologies, data lineages, and business glossaries. Strong understanding of semantic ...

engineer data pipelines to be scalable, robust, automatable, and repeatable · Navigate, explore and query large scale datasets · Build processes supporting data transformation, data structures, metadata, dependency and workload management · Identify and resolve data issues including data quality, data mapping, database and application issues · Implement data flows to connect operational systems ...

engineer data pipelines to be scalable, robust, automatable, and repeatable - Navigate, explore and query large scale datasets - Build processes supporting data transformation, data structures, metadata, dependency and workload management - Identify and resolve data issues including data quality, data mapping, database and application issues - Implement data flows to connect operational systems ...

data pipelines, and automated workflows for moving and processing data.Data Governance: Adherence to data governance, security, and privacy standards throughout the development lifecycle, including metadata management, data quality, and lineage tracking.Distributed Computing: Knowledge of distributed computing techniques like parallel processing, streaming, and batch workflow orchestration.Connect to your business - Technology ...

data pipelines, and automated workflows for moving and processing data.Data Governance: Adherence to data governance, security, and privacy standards throughout the development lifecycle, including metadata management, data quality, and lineage tracking.Distributed Computing: Knowledge of distributed computing techniques like parallel processing, streaming, and batch workflow orchestration.Connect to your business - Technology ...

Lead the design of conceptual, logical, and physical data models Support batch, streaming, and real-time data processing capabilities Drive best practice across governance, metadata, lineage, and data quality Optimise platform performance, scalability, reliability, and cost Collaborate closely with engineering, analytics, architecture, and data science teams Provide technical leadership ...

teams, and stakeholders to enable self-serve analytics and consumption.Good to have• Experience in banking or financial services data platforms.• Familiarity with data governance, metadata management, and regulatory reportingPersonalBesides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:•High analytical ...

scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence‐related datasets Experience working within Defence, National Security, Government or other ...

scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence‐related datasets Experience working within Defence, National Security, Government or other ...

scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence‐related datasets Experience working within Defence, National Security, Government or other ...

capabilities: You understand the full lifecycle of data from data discovery, storage, pipelines, ETL, streaming through to how data is managed including data quality, metadata management and how data is used for applications and core decision making through advanced analytics. AI: You have a deep expertise or experience ...

mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish best practices for data governance , lineage, and metadata management within the Databricks environment. Translate business needs into robust data products that support real-time decision-making and predictive modeling. Lead performance tuning, cost optimization ...

wider MS Azure related components of storage, SQL, Power BI and SharePoint/OneDrive* Integration with third party connectors and on premises data sources* Metadata management, cataloguing, lineage, classification, and data lifecycle concepts.* Azure Active Directory/Entra ID identity governance and the Azure data services specifically Synapse, Data Factory ...

capabilities: You understand the full lifecycle of data from data discovery, storage, pipelines, ETL, streaming through to how data is managed including data quality, metadata management and how data is used for applications and core decision making through advanced analytics.AI: You have a deep expertise or experience of AI, specifically ...

engaging both technical and non-technical stakeholders.Experience in managing multiple client environments, ensuring stability and performance optimisation.Desirable ExperienceUnderstanding of data governance, data quality, and metadata management practices.Exposure to IT Service Management (ITSM) tools like ServiceNow.Knowledge of monitoring tools like Azure Monitor and Log Analytics.What makes us greatAlongside working with some ...

engaging both technical and non-technical stakeholders.Experience in managing multiple client environments, ensuring stability and performance optimisation.Desirable ExperienceUnderstanding of data governance, data quality, and metadata management practices.Exposure to IT Service Management (ITSM) tools like ServiceNow.Knowledge of monitoring tools like Azure Monitor and Log Analytics.What makes us greatAlongside working with some ...

engaging both technical and non-technical stakeholders.Experience in managing multiple client environments, ensuring stability and performance optimisation.Desirable ExperienceUnderstanding of data governance, data quality, and metadata management practices.Exposure to IT Service Management (ITSM) tools like ServiceNow.Knowledge of monitoring tools like Azure Monitor and Log Analytics.What makes us greatAlongside working with some ...

semi-structured datasets, transforming raw information into actionable insights. Data Workflow Development: Expertise in developing and maintaining data transformation processes, managing data structures, metadata, workload dependencies, and orchestration frameworks. Large-scale Data Processing: A demonstrated history of manipulating, processing, and extracting value from large, diverse, and disconnected datasets in fast ...