176 to 200 of 635 Permanent Metadata Jobs

with scalable, automated workflows that improve accuracy and efficiency for the finance team. Experience withAgile methodologiesor working in aproduct-oriented environment. Familiarity withdata governance,metadata management, andcompliance. Ability tomentor junior analystsor contribute to team knowledge sharing. Comfortable working in afast-paced, high-stakes environmentwith tight deadlines. About ...

simulation techniques. Experience building or contributing to AI-enabled operational products. Exposure to Generative AI, Agentic AI or NLP solutions. Knowledge of data governance, metadata management and data quality frameworks. Some grounding in statistics and analytical problem-solving. Experience with Infrastructure-as-Code tools and approaches. Pension Scheme - contributions matched ...

simulation techniques. Experience building or contributing to AI-enabled operational products. Exposure to Generative AI, Agentic AI or NLP solutions. Knowledge of data governance, metadata management and data quality frameworks. Some grounding in statistics and analytical problem-solving. Experience with Infrastructure-as-Code tools and approaches. Pension Scheme - contributions matched ...

governance groups by reporting on data governance activities, progress and organisational maturity. Develop and maintain policies, standards and processes relating to data quality, metadata, data lineage, access and retention. Act as the central point of accountability for data governance activity across the Group, ensuring actions are documented, tracked and delivered. ...

containerization (Docker, Kubernetes) and orchestration tools in HPC/AI environments Familiarity with cloud storage platforms Experience in data lifecycle management, data versioning, and metadata management Solid understanding of data security, privacy (GDPR), and compliance in AI applications Excellent analytical and problem-solving skills Excellent communication skills and ability ...

portfolio of interconnected initiatives rather than a single product backlog. Strong understanding of the data lifecycle, including event design, ingestion, modelling, data contracts, quality, metadata, lineage, analytics and activation. Enough technical fluency to challenge assumptions, understand trade-offs and connect product decisions to architecture, quality, privacy, reliability and cost. Strong ...

troubleshooting skills. Ability to manage competing priorities with a focus on product quality, user needs and measurable outcomes. Knowledge of music repertoire, music metadata, rights or the wider music industry is advantageous. Minimum of 3 years’ experience in software engineering, AI, data, technology or a related role. Background building ...

strong lineage and audit requirements, or supporting operational reporting and regulated submissions AWS data services, infrastructure as code, and change data capture Data catalogues, metadata systems or lineage tooling Preparing governed data for machine learning, retrieval or evaluation, including large-scale document and unstructured data processing Multi-tenant data platforms ...

business and engineering teams in complex, multi-stakeholder environments.* Deep knowledge of data management practices, ideally encompassing master data management (MDM), data governance and metadata management.* Practical experience with an MDM platform is advantageous.* Demonstrated experience coaching and developing junior or mid-level analysts.* Product management, product owner experience ...

Engineering and Systems Engineering principles.* Experience within highly regulated industries such as Nuclear, Defence, Aerospace, Transport or Critical National Infrastructure.* Understanding of data governance, metadata management and information lifecycle management.* Familiarity with Agile, Waterfall or hybrid delivery approaches. Qualifications & Professional Development* Degree (or equivalent experience) in Business Analysis, Information Management ...

foundational data capabilities through high‐quality EDA, data profiling and rapid analytical investigations in agreed Fabric and Databricks workspaces. Build confidence in data quality, metadata, metrics, baselines and user‐focused measurement for priority data and AI products. Surface informed ideas for what more can be done with available data, then ...

business and engineering teams in complex, multi-stakeholder environments. Deep knowledge of data management practices, ideally encompassing master data management (MDM), data governance and metadata management. Practical experience with an MDM platform is advantageous. Demonstrated experience coaching and developing junior or mid-level analysts. Product management, product owner experience ...

complex FME Form workspaces and delivering enterprise-scale automations in FME Flow Highly proficient in ArcGIS technologies, Python, and database development, including PostGIS, schemas, metadata, data versioning, and standards Excellent communicator and problem-solver, with strong business development capability, a passion for innovation, and a drive to continuously expand technical ...

help translate platform requirements into practical modelling patterns across Azure Data Factory, Azure Databricks, Delta Lake, Unity Catalog, Microsoft Purview and Power BI, including metadata, lineage, data quality and certification requirements. These activities call for individuals who can complement strong relational and dimensional data modelling capabilities with excellent communication … stakeholder management skills, and who can translate business requirements into implementable data structures, metadata, quality rules and governance controls across a modern data platform. Working with business to understand the factors influencing delivery performance and efficiency. Creating conceptual, logical, canonical and dimensional models and the supporting intellectual property. Supporting Information ...

Designing conceptual, logical and physical data models that support strategic outcomes. Leading data discovery, profiling and requirements analysis activities. Developing data standards, governance models, metadata frameworks and master data strategies. Designing data pipelines, integrations and data flows across systems and domains. Balancing technology, security and business needs to deliver effective … Sparx EA, ArchiMate, UML). Experience designing enterprise data flows, integrations and data pipelines. In‐depth understanding of data management principles including data quality, metadata, master data and reference data. Experience gathering and analysing data and system requirements in complex environments. Broad understanding of modern data technology domains, including: Cloud ...

Establish standards for analytics engineering, dbt, the modern data stack, DataOps, testing, documentation, CI/CD, Infrastructure as Code, observability and automated deployment. Embed metadata, lineage, privacy, security, regulatory compliance, monitoring and data quality controls into platform and data product designs. Lead technical workstreams, mentor engineers, prepare estimates and technical … Code, preferably Terraform. Experience in defining engineering standards and driving operational excellence across data platforms. Data Governance, Security & Quality Strong understanding of data governance, metadata management, lineage, privacy, security and regulatory compliance. Experience in defining policies, enterprise data quality controls, observability solutions and monitoring frameworks that support reliable, trusted ...

information flow assessment Data visualisation and MI Documentation Stakeholder Management Desirable skills as SC Cleared Data Analyst Modern visualisation tools Fabric Data governance Metadata management This is an exceptional SC Cleared Data Analyst opportunity with training, career progression and benefits including healthcare on offer. Key skills: SC Cleared Data Analyst ...

serving data across insurance applications and AWS services. Work with engineers on data models, interfaces, pipelines and implementation decisions. Establish appropriate approaches to ownership, metadata, lineage, access and data quality. Consider how future AI and agentic applications can securely access reliable business context. Explain architectural choices and trade-offs clearly ...

Strong technical understanding of modern data environments, with desirable experience across: Azure, Databricks, Lakehouse, MDM, Customer Data Platforms, APIs & Event-Driven Integration, Data Quality, Metadata & Lineage, ETL/ELT, Data Migration. You do not need to be a hands-on architect, but must have sufficient technical depth to challenge architecture ...

Strong technical understanding of modern data environments, with desirable experience across: Azure, Databricks, Lakehouse, MDM, Customer Data Platforms, APIs & Event-Driven Integration, Data Quality, Metadata & Lineage, ETL/ELT, Data Migration. You do not need to be a hands-on architect, but must have sufficient technical depth to challenge architecture ...

Experience leading cross-functional teams including Data Engineers, Data Architects, Business Analysts, Reporting teams, and Business stakeholders. Strong knowledge of data governance, data quality, metadata management, data lineage, and regulatory/compliance requirements. Proven ability to manage end-to-end delivery of data transformation initiatives, including roadmap planning, risk management ...

local requirements, delivery risks and opportunities for improvement. Knowledge of version control, automated testing, deployment automation, monitoring and operational support. Knowledge of data quality, metadata, lineage, master data, information security and data governance principles. Understanding of the data foundations required to support business intelligence, data science and AI interoperability. Qualifications ...

identity, authorization, configuration, and change; integrate controls into CI/CD and provisioning pipelines. Drives data quality and observability for governance datasets: schemas, validations, metadata, golden records, reconciliation, and reporting. Conducts architecture/design reviews; document decisions, risks, exceptions/waivers, and remediation plans; present in governance forums. Promotes effective ...

governance, integration and strategy Strong architectural judgement, with the ability to balance business value, technical complexity, risk, cost and compliance considerations Practical MDM and metadata management experience, specifically Databricks/Lakehouse platform Experience providing technical leadership and influencing decisions across large-scale programmes, transformation initiatives and diverse stakeholder groups ...

Support the implementation of Vinarchy's Data Governance Framework. Assist Data Owners and Data Stewards in executing governance responsibilities. Maintain business glossaries, data dictionaries, metadata, and data lineage documentation. Facilitate governance forums and stewardship meetings. Track compliance with data policies, standards, and controls. Support governance maturity assessments and improvement initiatives. ...