51 to 75 of 185 Metadata Jobs in the UK

Cloud ecosystems such as AWS, Azure, and GCP Databricks, Snowflake, and similar modern data platforms Infrastructure automation, DevOps, and secure deployment patterns Data governance, metadata, and secure access frameworks Analytics, semantic layers, and enterprise reporting platforms Seniority and Leadership Expectations Operate at Principal Consultant or equivalent leadership level Own architecture ...

Knowledge of data governance, access control, and platform standards Excellent communication and collaboration skills Familiarity with modern data architectures such as Medallion patterns and metadata tools This role will be hyrbid working - required to work 2 to 3 days per week onsite in London. Apply now to speak with VIQU ...

data imports, updates, and reconciliations. Deliver migrations across core data domains including: Accounts/financial data, Matter/case data, Contacts, Documents and related metadata Identify data quality issues, perform remediation, and work closely with clients to validate migrated data. Execute trial migrations, delta migrations, and final production cutover loads. ...

industry standards. Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent. Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services. Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions. … including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps ...

industry standards. Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent. Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services. Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions. … including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps ...

than owning or delivering data solutions. KEY REQUIREMENTS: · Financial Services Experience is essential · Strong experience shaping enterprise data architectures · Significant experience in governance, MDM, metadata, lineage, modelling, quality management and data security. · Have experience in cloud data platforms · Have an understanding of regulatory and compliance requirements impacting data · Strong stakeholder ...

than owning or delivering data solutions. KEY REQUIREMENTS: Financial Services Experience is essential Strong experience shaping enterprise data architectures Significant experience in governance, MDM, metadata, lineage, modelling, quality management and data security. Have experience in cloud data platforms Have an understanding of regulatory and compliance requirements impacting data Strong stakeholder ...

Core Skills Required Extensive Informatica experience (IICS/PowerCenter/IDMC) across design, build, integration, and deployment Strong background in Data Governance , including: Enterprise metadata management Data lineage setup and optimisation Data quality rules, profiling, and stewardship workflows Policy framework implementation Governance operating model support Experience working with Informatica Data ...

cloud-native data architectures, ideally on GCP. Deep knowledge of BigQuery, modern data processing patterns, warehouses and Lakehouse design. Experience with data governance, lineage, metadata and data quality tooling. Practical delivery of Data Products aligned to Data Mesh principles. Strong architectural modelling and documentation skills. Experience designing for performance, scalability ...

data quality tooling • Implement and operationalize data governance and data cataloguing using Microsoft Purview and Ataccama, including RBAC/ABAC, PII/DLP, metadata standards, business glossaries, and schema evolution • Define scope and objectives for platform and data engineering initiatives, and deliver structured, risk-managed, and Agile delivery plans • Oversee ...

data quality tooling• Implement and operationalize data governance and data cataloguing using Microsoft Purview and Ataccama, including RBAC/ABAC, PII/DLP, metadata standards, business glossaries, and schema evolution• Define scope and objectives for platform and data engineering initiatives, and deliver structured, risk-managed, and Agile delivery plans• Oversee ...

Oracle EPM Cloud datasets. Support and evolve data governance, security, and RBAC models for reporting solutions. Document data models, business logic, transformations, and metadata for reuse and governance compliance. Troubleshoot and resolve issues related to data modelling and reporting within FDI. Lead best-practice approaches for FDI deployment, security, optimisation ...

/ELT tooling (e.g. Talend or similar) Cloud-based data environments Solid understanding of data architecture principles, including data modelling concepts, data pipelines, metadata, lineage and data quality frameworks. Experience shaping and evolving product roadmaps in partnership with engineering leadership, balancing technical debt, platform capability and business demand. Demonstrable experience ...

integration tools and patterns (OIC, APIs, FBDI, ETL). Proven delivery of large‐scale data migration. Strong grounding in data governance, quality, and metadata practices. Able to explain complex data concepts and influence stakeholders. Experience designing analytics and semantic models. Familiarity with cloud data platforms and modern data architecture. Awareness ...

including: Workspace strategy and segmentation RBAC and security group model Dev/Test/Prod lifecycle and deployment pipelines Certification and endorsement standards Naming, metadata, and documentation standards Data source approval and security controls Tenant-level governance settings Align governance with IDA, security, data protection, and audit requirements Produce clear ...

including: Workspace strategy and segmentation RBAC and security group model Dev/Test/Prod lifecycle and deployment pipelines Certification and endorsement standards Naming, metadata, and documentation standards Data source approval and security controls Tenant-level governance settings Align governance with IDA, security, data protection, and audit requirements Produce clear ...

including: Workspace strategy and segmentation RBAC and security group model Dev/Test/Prod lifecycle and deployment pipelines Certification and endorsement standards Naming, metadata, and documentation standards Data source approval and security controls Tenant-level governance settings Align governance with IDA, security, data protection, and audit requirements Produce clear ...

data architecture transformation Exposure to business capability models, process taxonomies, and maturity assessments Hands-on experience with data platform architecture, including data quality, metadata, security, privacy, and compliance Understanding of public and private cloud architectures Experience using enterprise architecture tools such as LeanIX, Avolution, Orbus, Bizzdesign, or similar Relevant certifications ...

data architecture transformation Exposure to business capability models, process taxonomies, and maturity assessments Hands-on experience with data platform architecture, including data quality, metadata, security, privacy, and compliance Understanding of public and private cloud architectures Experience using enterprise architecture tools such as LeanIX, Avolution, Orbus, Bizzdesign, or similar Relevant certifications ...

Technology. Key Responsibilities Define and execute the Pre‐Trade Data & Analytics strategy across core systems. Deliver a multi-year roadmap including ClickHouse migrations, metadata consolidation, common APIs, scraper consolidation, and platform resilience improvements. Rationalise, deduplicate, and govern curves across systems. Architect and oversee a Medallion-style platform using Python, React ...

drafting communication and/or user stories, use cases, and functional requirements Experience/Familiarity with Agile and Waterfall project management methodologies Knowledge of metadata management concepts, modelling, tools and standards beneficial Prepared to attend the odd call that falls outside of the usual UK working day as this role ...

environment. The ideal candidate will have: Strong commercial experience designing or embedding data governance frameworks. Hands-on experience with cloud-based governance tools and metadata-driven approaches. Good understanding of GCP (Dataplex, BigQuery) or similar platforms; Azure Purview exposure is a bonus. Familiarity with SQL and the impact of governance ...

role will involve hands-on data analysis, transformation and visualisation, while also supporting activities such as data cleansing, validation and the improvement of metadata and information asset records. You will collaborate with technical teams, business SMEs and project colleagues to ensure data is accurate, reliable and fit for purpose within ...

performant and cost-effective manner KEY REQUIREMENTS: Financial Services Experience is essential Strong experience shaping enterprise data architectures Significant experience in governance, MDM, metadata, lineage, modelling, quality management, and data security. Vast Snowflake expertise Hands-on experience with data engineering, python and dbt Strong stakeholder management skills Strong analytical skills ...

performant and cost-effective manner KEY REQUIREMENTS: · Financial Services Experience is essential · Strong experience shaping enterprise data architectures · Significant experience in governance, MDM, metadata, lineage, modelling, quality management, and data security. · Vast Snowflake expertise · Hands-on experience with data engineering, python and dbt · Strong stakeholder management skills · Strong analytical skills ...