1 to 25 of 125 Metadata Jobs in the UK

Skills Experience with Apache Airflow for pipeline orchestration. Knowledge of CI/CD pipelines, DevOps, and Git-based development workflows. Experience with data governance, metadata management, and enterprise data catalog tools. Experience with BI tools such as Tableau Microsoft Power BI. Domain experience in hospitality, travel, or hotel systems, including ...

Skills Experience with Apache Airflow for pipeline orchestration. Knowledge of CI/CD pipelines, DevOps, and Git-based development workflows. Experience with data governance, metadata management, and enterprise data catalog tools. xehkeey Experience with BI tools such as Tableau Microsoft Power BI. Domain experience in hospitality, travel, or hotel systems ...

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 ...

Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership – Mentor cross-functional teams and embed best practices and innovation ...

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 ...

deployment, and monitoring for data services 4. Data Quality & Governance Implement data validation, profiling, and quality checks Work with data governance teams to enforce metadata standards, lineage, and catalogs 5. Collaboration Collaborate with data engineers, BI teams, analysts, and product teams Translate business requirements into scalable data solutions Your Profile ...

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 ...

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 ...

databases (PostGIS, Oracle, SQL Server). Develop and optimize SQL queries for data extraction, validation, and reporting. Contribute to data modeling, schema updates, and metadata management. Required Skills & Experience 8 10 years of experience in GIS analysis, GIS-based business analysis, or spatial data engineering. Strong hands-on skills with ...

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 ...

customers—whether next-generation innovations or custom-tailored adaptations. Take ownership of the full problem space, spanning data storage and pipelines through to APIs, metadata, and UIs Improve and extend existing products with new features, cost optimizations, and reliability enhancements, while addressing technical debt and ensuring alignment with the broader ...

Architect. Strong hands-on experience with ETL/ELT, SQL, NoSQL, Oracle, and tools such as Talend, Informatica, DataStage, Collibra, and Alfresco. Expertise in metadata management, data quality, data warehousing, analytics, and GDPR governance. Advanced data modelling skills (conceptual/logical/physical). Strong communication, stakeholder management, and SDLC ...

technical teams Nice to have Experience with IAM/PAM tooling such as CyberArk, SailPoint, BeyondTrust or similar Exposure to data governance tooling, lineage, metadata or control frameworks Experience supporting production issues/operational processes Why apply This is a strong opportunity to work on a genuinely interesting programme where ...

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 ...

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 ...

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 ...

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 ...

Data Requirement gathering, Determine ER, ER diagrams Logical data model, Multi-Dimensional Modelling Key Skills/Knowledge/Experience Strong experience in data governance, metadata management, and cataloging. Hands-on expertise with Microsoft Purview (catalog, lineage, classification, glossary). Experience supporting cloud data platforms, preferably Azure MS Fabric. Understanding ...