1 to 25 of 184 Permanent Metadata Jobs in the UK

with Databricks. Data Engineering & Platform Build Build and optimize large-scale ETL/ELT pipelines using PySpark, SQL, and Delta. Oversee data quality frameworks, metadata management, lineage, and monitoring. Leadership & Stakeholder Engagement Work closely with business leaders and product teams to translate requirements into robust technical solutions. Guide development teams ...

delivery teams through complex technical decisions ensuring solutions are robust, governable and deliverable into live service. Key responsibilities include: Designing data architectures, including cataloguing, metadata, lineage, quality, ownership and classification, to ensure data is trusted, discoverable, secure and fit for purpose from source to consumption. Taking architectural ownership ...

provide "at-a-glance" insights for executive leadership and deep-dive capabilities for analysts. Data Governance: Establish and enforce best practices for data documentation, metadata management, and data quality assurance to ensure "one source of the truth." Performance Optimization: Audit and optimize SQL queries and dashboard performance to ensure ...

consistency across development teams and services Support established Data Governance and Data Quality frameworks, including tooling, policy enforcement, and stewardship models Ensure robust metadata management, lineage tracking, and data cataloguing using business glossaries and modern catalog tools Review and approve data architecture for major features, platforms, and technical initiatives Collaborate ...

scalable, secure and cost-effective cloud hybrid data solution aligned with Omnia enterprise architecture and Army training objectives. Design innovative data models and metadata systems to interpret and enhance business needs, promoting data as a strategic asset. Develop transitional data architectures and road maps in alignment with Omnia digital transformation ...

Design and maintain robust data models and data architecture structures. Ensure efficient data flow, integration, and accessibility across platforms. Develop and maintain data dictionaries, metadata frameworks, and governance models. Support compliance with data quality, security, and regulatory requirements. Oversee storage, archiving, and lifecycle management of data assets. Collaborate with technical ...

Data Quality, Testing & Governance Implement automated testing suites, data contracts, lineage, and monitoring frameworks. Partner with Data Governance to embed quality rules, SLAs, and metadata standards into pipelines. Resolve data quality issues proactively and own improvements to source-to-target data flows. Cross-Functional Collaboration Work with business areas ...

native data architectures covering ingestion, processing, storage, and consumption Translate business and analytical requirements into practical, scalable data solutions Support data governance practices including metadata, lineage, data quality checks, and access controls Work within hybrid environments (on-prem to cloud) and support modernization initiatives Understand and apply data mesh concepts ...

frameworks (batch/streaming) using ADF, Databricks or Fabric pipelines. •Strong programming skills in PySpark, SQL, Python. •Experience implementing medallion architecture, delta lakes, and metadata‐driven pipelines. •Hands-on experience with DQ frameworks, validation rules and reconciliation logic. •Ability to integrate Azure/Fabric datasets with Power BI semantic models ...

capability. - Build and maintain API integrations with third-party systems. Data Engineering & Analysis - Ingest, transform, and prepare structured and unstructured data. - Implement data quality, metadata, and lineage standards within Microsoft Fabric. - Support data science activities (exploratory analysis, feature engineering, modelling support). - Create scalable datasets and semantic models for business ...

programmes across multiple sectors Modern integration patterns including event streaming, messaging, CDC, and data virtualisation Broader architectural domains such as data governance, lineage, MDM, metadata management, and data quality Cloud‐native engineering practices, robust platform engineering, and large‐scale solution delivery You’ll be part of a collaborative, ambitious technical ...

suite audiences. Hands-on data modelling capability across conceptual, logical and physical layers. Deep understanding of data management -data quality, MDM, reference data, metadata, governance and analytics/BI. Experience defining architecture patterns and applying structured methodologies. Proven ability to document and standardise data semantics , including taxonomies and vocabularies. Experience ...

implementation. Strong expertise in cloud technologies (AWS, Azure, GCP) with relevant certifications highly desirable. In-depth knowledge of data modeling, data lake design, and metadata management tools. Proven ability to design secure, scalable, and cost-effective data solutions in cloud ecosystems. Experience in the financial services sector, with a track ...

hybrid delivery framework Data Quality & Governance Ensure use of governed and certified data sources Define validation and reconciliation processes Maintain consistent metric definitions and metadata Ensure compliance with data privacy and regulatory standards Stakeholder Engagement Act as the subject matter expert for reporting across the programme Facilitate workshops to gather ...

looking for experience across the following areas: Data architecture Data platform design Data modelling, cataloguing and associated governance Data lakes, distributed storage Metadata management Experience with Snowflake is preferred Cloud & Platform Architecture Proficient in AWS, but familiarity with Azure/GCP also useful Strong understanding of cloud computing principles ...

star-schema design Extensive hands-on experience delivering analytics and business intelligence data models, Strong grounding in data warehousing principles Expertise in data and metadata management Thorough understanding of security standards and controls Experience working with cloud data warehouse technologies, ideally Amazon Redshift, Advanced SQL skills Experience in these areas ...

star-schema design Extensive hands-on experience delivering analytics and business intelligence data models, Strong grounding in data warehousing principles Expertise in data and metadata management Thorough understanding of security standards and controls Experience working with cloud data warehouse technologies, ideally Amazon Redshift, Advanced SQL skills Experience in these areas ...

star-schema design Extensive hands-on experience delivering analytics and business intelligence data models, Strong grounding in data warehousing principles Expertise in data and metadata management Thorough understanding of security standards and controls Experience working with cloud data warehouse technologies, ideally Amazon Redshift, Advanced SQL skills Experience in these areas ...

Data & AI Strategy, including adherence to front door intake and governance policies. Maintain and evolve the data catalogue for your products, ensuring metadata, lineage, and definitions are accurate, accessible, and up to date. Define and communicate a clear product vision and strategy, ensuring alignment with departmental and company goals. Ensure ...

efficiency Work closely with data scientists, analysts and engineering teams to support advanced analytics and reporting initiatives Implement best practices for data modelling, metadata management and data lineage Produce technical documentation including data architecture, pipeline design and data flow diagrams Support continuous improvement of data platforms through optimisation, automation … with Spark or distributed data processing frameworks Proven experience building and maintaining data pipelines, data lakes and data warehouses Strong understanding of data modelling, metadata management and data governance principles Experience working with large-scale distributed data systems and high-volume datasets Familiarity with CI/CD, version control ...

strategic objectives Review and challenge vendor designs to ensure quality and scalability Drive best practices across: Data modelling Data pipelines Storage (lakehouse/warehouse) Metadata, lineage, and data quality Operating Model Align with and enhance data governance frameworks, ownership, and stewardship Establish sustainable operating models and run-state processes Support ...

IBMDB2), with a proficiency to understand complex queries * Programming xkybehq experience in a high-level language i.e. Java/Python or C++ * Experience with metadata management, or data lineage tools * Experience with LLM/GenAI tools (GitHub Copilot, ChatGPT, Claude, etc.) * Exposure to version control systems and CI/ ...

IBMDB2), with a proficiency to understand complex queries * Programming xkybehq experience in a high-level language i.e. Java/Python or C++ * Experience with metadata management, or data lineage tools * Experience with LLM/GenAI tools (GitHub Copilot, ChatGPT, Claude, etc.) * Exposure to version control systems and CI/ ...

/TPA partner systems and monthly bordereaux submissions Develop data models using Dimensional (Star/Snowflake), Data Vault, and 3NF methodologies. Create and manage metadata and modelling artefacts using Erwin with traceability and governance. Support Medallion Architecture (Bronze, Silver, Gold) across ingestion and curation layers. Collaborate with engineering teams ...

secure, reliable, and scalable data pipeline architecture. Ensure robust implementation and operation of secure data infrastructure. Data Governance Implement strong governance frameworks covering stewardship, metadata, and privacy controls. Champion best practice in data quality, lineage, and lifecycle management. Stakeholder Engagement Build strong relationships with senior business leaders and key partners. ...