51 to 75 of 251 DemandTrendPermanent Metadata Jobs

into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR and internal policies. What More ❯

into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR and internal policies. What More ❯

into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR and internal policies. What More ❯

technical leadership and guidance to cross-functional teams, ensuring best practices in data architecture, security and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large-scale, high-throughput data Ensure all data solutions comply with industry standards More ❯

Proficiency in Azure Data Factory, Data Lake Gen2, Synapse, and GitHub • Experience implementing monitoring, logging, and alerting pipelines • Strong skills in Python, SQL, and data transformation logic • Familiarity with metadata tagging, sensitivity labeling, and QA frameworks Prime Contract Number 6HQOIG-25-C-0024 For this position, there will be only one bill rate regardless of hours worked in a day More ❯

transformation roadmaps. Data Governance & Management Design and implement data governance frameworks (e.g., DAMA, DCAM). Define data ownership models, stewardship roles, and data quality KPIs. Support the implementation of metadata management, lineage tracking, and data cataloging tools. Required Qualifications & Experience: - 15+ years of experience in data advisory, data strategy, or data management roles. - 8-10 years of experience working within More ❯

succeed You'll bring extensive experience in data engineering within Azure environments, with a strong track record in modernisation and large-scale migration projects. You'll be confident designing metadata-driven frameworks and managing Databricks environments, with hands-on expertise in Python, T-SQL, and PySpark. Your leadership and mentoring skills will be key, alongside your ability to collaborate across 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 ❯

CMS). • Ensure seamless integration with engineering systems (PLM, ERP) and digital twin environments. Governance & Compliance • Establish architecture governance frameworks to ensure consistency, scalability, and compliance. • Define data models, metadata standards, and content lifecycle policies. • Ensure adherence to cybersecurity, regulatory, and quality standards in aerospace. Stakeholder Engagement & Leadership • Collaborate with engineering, product, IT, and documentation teams to gather requirements and More ❯

CMS). • Ensure seamless integration with engineering systems (PLM, ERP) and digital twin environments. Governance & Compliance • Establish architecture governance frameworks to ensure consistency, scalability, and compliance. • Define data models, metadata standards, and content lifecycle policies. • Ensure adherence to cybersecurity, regulatory, and quality standards in aerospace. Stakeholder Engagement & Leadership • Collaborate with engineering, product, IT, and documentation teams to gather requirements and More ❯

CMS). • Ensure seamless integration with engineering systems (PLM, ERP) and digital twin environments. Governance & Compliance • Establish architecture governance frameworks to ensure consistency, scalability, and compliance. • Define data models, metadata standards, and content lifecycle policies. • Ensure adherence to cybersecurity, regulatory, and quality standards in aerospace. Stakeholder Engagement & Leadership • Collaborate with engineering, product, IT, and documentation teams to gather requirements and More ❯

leading across Product, Engineering, and Data teams. Experience navigating ambiguity and delivering structure to complex, evolving domains. We'd love to see: Experience with data governance, quality frameworks, and metadata management. Understanding of third-party entity data providers and integration strategies. Experience with modern data infrastructure and architecture, including APIs, data pipelines, or LLM-based enrichment solutions. Awareness of emerging More ❯

testing frameworks for data workflows. Ensure end-to-end data quality from raw ingestion to curated, trusted datasets powering analytics. Establish and enforce best practices for data governance, lineage, metadata, and security controls. Ensure compliance with GDPR and other regulatory frameworks. Act as a technical authority and mentor, guiding data engineers. Influence cross-functional teams to align on data strategy More ❯

designing and implementing data architectures on AWS platforms. * Ability to create and present entity relationship diagrams, logical data models, and high-level architecture diagrams. * Familiarity with data modelling standards, metadata management, and data governance. * Knowledge of security, privacy, and compliance requirements within UK Government projects. * Proficiency with tools like Lucidchart, ER/Studio, Draw.io, or similar for diagramming. * Excellent communication More ❯

schemas, and migration plans Write SQL and Python code for relational databases (SQL Server, PostgreSQL) Support enterprise geospatial systems and spatial data management Implement and document data quality rules, metadata, and validation processes Collaborate with NPS teams on system design, troubleshooting, and improvement Automate and optimize data workflows and infrastructure Qualifications: BA/BS degree + 2 years of data More ❯

migration, analysis, and governance. Key Responsibilities: Lead the design and implementation of modern data architectures for public sector clients. Provide technical expertise in data modelling, data migration, data transformation, metadata management, and master data management. Engage directly with stakeholders (technical and non-technical) to gather requirements and provide thought leadership. Guide the selection of appropriate technologies and tools to meet More ❯

to drive innovation and create lasting impact. What You’ll Bring: Proven experience working within UK healthcare or wider public sector environments. Expertise across key data architecture disciplines — including metadata management, master data, and complex data migrations. Strong track record of leading data projects, including defining standards, assuring quality, and mentoring teams. Familiarity with selecting technologies or products for projects More ❯

in enterprise data architecture within complex environments Hands-on expertise with Kimball and Data Vault 2.0 methodologies Experience designing models across raw, business, and consumption layers Solid understanding of metadata, cataloguing, and data governance practices Working knowledge of modern data platforms such as Databricks, Azure, Delta Lake, etc. Excellent communication and stakeholder engagement skills Data Architect - Benefits: Competitive base salary More ❯

problems collaboratively. Key Requirements Proven experience within the UK Healthcare sector or UK Public Sector. Advanced technical design skills in key data architecture areas, including data modelling, data analysis, metadata management, data transformation, data migration, and master data management. Demonstrated ability to provide technical leadership on data projects, including quality assurance, mentoring, and defining standards. Knowledge of best practice methodologies More ❯

and PD&C objectives Serve as a strategic advisor to R&D leadership on opportunities to improve pipeline productivity and operational efficiency using data Establish and govern data standards, metadata management, lineage, and ontologies across R&D domains Ensure compliance with enterprise data governance and facilitate its application across R&D data sets Partner with I&T to design and More ❯

and PD&C objectives Serve as a strategic advisor to R&D leadership on opportunities to improve pipeline productivity and operational efficiency using data Establish and govern data standards, metadata management, lineage, and ontologies across R&D domains Ensure compliance with enterprise data governance and facilitate its application across R&D data sets Partner with I&T to design and More ❯

and PD&C objectives Serve as a strategic advisor to R&D leadership on opportunities to improve pipeline productivity and operational efficiency using data Establish and govern data standards, metadata management, lineage, and ontologies across R&D domains Ensure compliance with enterprise data governance and facilitate its application across R&D data sets Partner with I&T to design and More ❯

Data Platform Operations : Managing production ETL/ELT pipelines and data orchestration frameworks. Ensuring data platform security, compliance, and access controls. Implementing and governing data quality, lineage, observability, and metadata management. Ensuring the sustainability and scalability of our data infrastructure and that it enables the company to achieve its business objectives Data Platform Optimization: Ensuring that the team is working More ❯

you should have a passion for data and innovative theories and additional familiarity with the following: Create data dictionaries and business glossaries to document data lineages, data definitions and metadata for all business-critical data domains. Apply knowledge of reference models to data architecture design and maintain alignment with standards and best practices for ontology representation. Develop data governance framework More ❯

implement data quality tooling: metrics for dataset balance, drift, and annotation error, along with active-learning pipelines to close data gaps. Own dataset versioning, release management, lineage tracking, and metadata cataloging to ensure reproducibility and traceability. Collaborate closely with computer vision and ML engineers to provide high-quality, production-ready datasets that drive real-time defense applications. Data Engineer Requirements More ❯