76 to 100 of 221 Metadata Jobs in the South East

Streams & Tasks, and performance optimization Integration with AWS services and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as-code (e.g. More ❯

knowledge of Azure Cloud Services (DataBricks, ADF, Azure SQL, CosmosDB). Proficiency in Kimball methodology and Data Vaults. Experience with MDM, data cataloguing, and lineage management. Skilled in designing metadata-driven ingestion and transformation pipelines. Proven track record in agile delivery environments (SCRUM, PRINCE2, Lean). Excellent communication skills-able to bridge technical and non-technical audiences. Passion for emerging More ❯

knowledge of Azure Cloud Services (DataBricks, ADF, Azure SQL, CosmosDB). Proficiency in Kimball methodology and Data Vaults. Experience with MDM, data cataloguing, and lineage management. Skilled in designing metadata-driven ingestion and transformation pipelines. Proven track record in agile delivery environments (SCRUM, PRINCE2, Lean). Excellent communication skills-able to bridge technical and non-technical audiences. Passion for emerging More ❯

knowledge of Azure Cloud Services (DataBricks, ADF, Azure SQL, CosmosDB). Proficiency in Kimball methodology and Data Vaults. Experience with MDM, data cataloguing, and lineage management. Skilled in designing metadata-driven ingestion and transformation pipelines. Proven track record in agile delivery environments (SCRUM, PRINCE2, Lean). Excellent communication skills-able to bridge technical and non-technical audiences. Passion for emerging More ❯

/LODs, and voxel/point-cloud conversions. Implement labeling and QA workflows, manage external annotation vendors, and automate quality checks to ensure scalable, reliable datasets. Define schemas and metadata for digital assets, maintaining catalogues, lineage, and versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP More ❯

/LODs, and voxel/point-cloud conversions. Implement labeling and QA workflows, manage external annotation vendors, and automate quality checks to ensure scalable, reliable datasets. Define schemas and metadata for digital assets, maintaining catalogues, lineage, and versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP More ❯

/LODs, and voxel/point-cloud conversions. Implement labeling and QA workflows, manage external annotation vendors, and automate quality checks to ensure scalable, reliable datasets. Define schemas and metadata for digital assets, maintaining catalogues, lineage, and versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP More ❯

BI Publisher, or Tableau for representing data profiling results. Scripting/Automation: Ability to automate DQ checks using Shell, Python, or other scripting tools is a plus. Understanding of Metadata Management Concepts: Helps in building reusable and sustainable DQ frameworks across different domains. Languages: English: C1 Advanced More ❯

BI Publisher, or Tableau for representing data profiling results. Scripting/Automation: Ability to automate DQ checks using Shell, Python, or other scripting tools is a plus. Understanding of Metadata Management Concepts: Helps in building reusable and sustainable DQ frameworks across different domains. Languages: English: C1 Advanced More ❯

BI Publisher, or Tableau for representing data profiling results. Scripting/Automation: Ability to automate DQ checks using Shell, Python, or other scripting tools is a plus. Understanding of Metadata Management Concepts: Helps in building reusable and sustainable DQ frameworks across different domains. Languages: English: C1 Advanced More ❯

BI Publisher, or Tableau for representing data profiling results. Scripting/Automation: Ability to automate DQ checks using Shell, Python, or other scripting tools is a plus. Understanding of Metadata Management Concepts: Helps in building reusable and sustainable DQ frameworks across different domains. Languages: English: C1 Advanced More ❯

and analytics. Define and implement data operating models, target architectures, and transformation roadmaps. Establish data governance frameworks (e.g., DAMA, DCAM) and define stewardship roles and KPIs. Support deployment of metadata management, data lineage, and cataloging tools across platforms. Your Profile: 15+ years of experience in data advisory, data strategy, or data management roles. 8-10 years of experience working within More ❯

and analytics. Define and implement data operating models, target architectures, and transformation roadmaps. Establish data governance frameworks (e.g., DAMA, DCAM) and define stewardship roles and KPIs. Support deployment of metadata management, data lineage, and cataloging tools across platforms. Your Profile: 15+ years of experience in data advisory, data strategy, or data management roles. 8-10 years of experience working within More ❯

and analytics. Define and implement data operating models, target architectures, and transformation roadmaps. Establish data governance frameworks (e.g., DAMA, DCAM) and define stewardship roles and KPIs. Support deployment of metadata management, data lineage, and cataloging tools across platforms. Your Profile: 15+ years of experience in data advisory, data strategy, or data management roles. 8-10 years of experience working within More ❯

reference architecture into solution design across domains (Commercial, Supply Chain, Enabling Functions). Partner with domain architects, integration, and cybersecurity teams to ensure alignment of data flows, controls, and metadata management. Support the Architecture Review Board (ARB) and data governance forums with clear, structured design artefacts. Governance & Standards Define and maintain solution patterns for data ingestion, transformation, analytics, and sharing. … Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data integration, metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming, ETL/ More ❯

platforms Salesforce implementation desired but not necessary OLAP OLTP modelling experience is a must Familiarity with Orbus iServer Infinity is a plus Experience with Talend Data Catalog or similar metadata tools is advantageous Awareness of CICD pipelines for data solutions is a plus Familiarity with Kanban methodology and agile delivery environments Comfortable collaborating closely with architects engineers product owners Prefer More ❯

platforms Salesforce implementation desired but not necessary OLAP OLTP modelling experience is a must Familiarity with Orbus iServer Infinity is a plus Experience with Talend Data Catalog or similar metadata tools is advantageous Awareness of CICD pipelines for data solutions is a plus Familiarity with Kanban methodology and agile delivery environments Comfortable collaborating closely with architects engineers product owners Prefer More ❯

platforms Salesforce implementation desired but not necessary OLAP OLTP modelling experience is a must Familiarity with Orbus iServer Infinity is a plus Experience with Talend Data Catalog or similar metadata tools is advantageous Awareness of CICD pipelines for data solutions is a plus Familiarity with Kanban methodology and agile delivery environments Comfortable collaborating closely with architects engineers product owners Prefer More ❯

platforms Salesforce implementation desired but not necessary OLAP OLTP modelling experience is a must Familiarity with Orbus iServer Infinity is a plus Experience with Talend Data Catalog or similar metadata tools is advantageous Awareness of CICD pipelines for data solutions is a plus Familiarity with Kanban methodology and agile delivery environments Comfortable collaborating closely with architects engineers product owners Prefer More ❯

Expertise in data governance, BI/MI, and CRM systems, with a proven ability to align them to SDR requirements. Advanced knowledge of data quality frameworks, master data management, metadata, and reference data hierarchies. Proficiency in data validation, cleansing technologies, and lineage tracking. Familiarity with ETL/integration pipelines and validation of outputs for regulatory purposes. Excellent written and verbal 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 ❯

and governance frameworks that enable AI and ML systems Partner with Data Scientists, ML Engineers, and Software Engineers to deliver AI Lead data platform modernisation efforts Define data standards, metadata, lineage and quality frameworks Collaborate with stakeholders to align data strategy Data Architect, financial services, AI Reasonable Adjustments: Respect and equality are core values to us. We are proud of More ❯

navigate through complex systems landscapes Desirable Skills Experience with CDM frameworks or canonical data models. Knowledge of regulatory reporting requirements in UK banking Experience with data catalogue tools and metadata management Product specific knowledge across lending, deposits, or treasury More ❯

navigate through complex systems landscapes Desirable Skills Experience with CDM frameworks or canonical data models. Knowledge of regulatory reporting requirements in UK banking Experience with data catalogue tools and metadata management Product specific knowledge across lending, deposits, or treasury More ❯

navigate through complex systems landscapes Desirable Skills Experience with CDM frameworks or canonical data models. Knowledge of regulatory reporting requirements in UK banking Experience with data catalogue tools and metadata management Product specific knowledge across lending, deposits, or treasury More ❯