1 to 25 of 66 Remote Metadata Jobs in London

to streamline user authentication and improve security across cloud and on-premise applications. Proficient in data analysis, data lineage, data profiling, master data management, metadata management, ETL/ELT, data warehousing, data lake, data lakehouse, data governance, Big Data, AI/ML, reporting and data visualisation. Knowledge of IT infrastructure More ❯

Lead the integration of core data management capabilities , including: Master Data Management (MDM) solutions for single-source-of-truth data Data catalogue tools for metadata management and discovery Data governance frameworks for policy enforcement, compliance, and lineage tracking Data quality solutions to ensure data accuracy, consistency, and reliability Provide architectural More ❯

related to the project implementation Your Skills and Experience Experience with Ab Initio: • Extensive experience working with Ab Initio Co>OP, GDE, express>It, Metadata hub, Authorisation Gateway software. • Good understanding of Ab Initio concepts like checkpoints, parallelism, graph dynamic layouts • Continuous Flows in Ab Initio • Good knowledge of the More ❯

and enterprise data architecture. Proficiency in SQL and experience working with cloud data platforms (e.g., Azure, AWS, GCP). Familiarity with data governance frameworks, metadata management, and data cataloging tools. Excellent communication and documentation skills, with the ability to explain complex data concepts to non-technical stakeholders. Preferred Skills: Experience More ❯

and enterprise data architecture. Proficiency in SQL and experience working with cloud data platforms (e.g., Azure, AWS, GCP). Familiarity with data governance frameworks, metadata management, and data cataloging tools. Excellent communication and documentation skills, with the ability to explain complex data concepts to non-technical stakeholders. Preferred Skills: Experience More ❯

and enterprise data architecture. Proficiency in SQL and experience working with cloud data platforms (e.g., Azure, AWS, GCP). Familiarity with data governance frameworks, metadata management, and data cataloging tools. Excellent communication and documentation skills, with the ability to explain complex data concepts to non-technical stakeholders. Preferred Skills: Experience More ❯

ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

in all things data including lifecycle, technologies, data-patterns, insights, analytics and machine learning, master and master data management, integration, data warehousing, data quality, metadata, and data compliance. Strong understanding of data governance and compliance requirements. Excellent communication and interpersonal skills, with the ability to engage effectively with various stakeholders. More ❯

frameworks and cross-functional team collaboration Comfortable navigating governance processes and aligning models to enterprise data frameworks Nice to Have Experience integrating models into metadata/catalogue tools like Collibra Exposure to real-time data ingestion, stream processing, or modern ELT pipelines If this role is of interest, please apply More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

of data models , lineage , and governance frameworks that ensure data trust, accuracy, and traceability. Define architecture standards for data integration , master data management , and metadata strategy . Support key programmes like ITSM (ServiceNow) and back-office platform migrations , ensuring the right data gets to the right place at the right More ❯

experience with Python and Pandas. Experience of data pipeline and workflow management tools: Dagster, Celery, Airflow, etc. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Experience supporting and working with cross-functional teams in a dynamic environment. Strong communication skills to collaborate with remote teams (US More ❯

quality across the data ecosystem. These sources include Adalyser, Meta Ads, Google Ads, Hubspot and Aircall along with performance tracking data, product imagery and metadata from bespoke platforms. Data Quality & Validation: Implement processes to monitor and ensure the accuracy, completeness, and consistency of data. Conduct regular data audits and resolve More ❯

convey complex or technical information clearly and effectively to diverse, non-technical audiences. Proven experience developing and implementing data governance frameworks, including data quality, metadata, and master data management, alongside expertise in data management, analytics, and business intelligence to support evidence-based decision-making and deliver data use cases. Why More ❯

and drive consensus across diverse stakeholders Knowledge of data privacy regulations and compliance frameworks (GDPR, CCPA, etc.). Experience in data profiling, cleansing, and metadata management is a plus. Familiarity with data architectures and data integration platforms More ❯

a strong understanding of document lifecycle management and workflow automation. Key Responsibilities Design and implement custom M-Files solutions to support business requirements. Configure metadata structures, classes, workflows, views, and permissions. Develop scripts using VBScript or other supported languages for automation within M-Files. Integrate M-Files with other business More ❯

a strong understanding of document lifecycle management and workflow automation. Key Responsibilities Design and implement custom M-Files solutions to support business requirements. Configure metadata structures, classes, workflows, views, and permissions. Develop scripts using VBScript or other supported languages for automation within M-Files. Integrate M-Files with other business More ❯

models for biological age determination and disease stratification based on epigenetic data; Work with AI models to predict skin phenotypes from epigenetics and comprehensive metadata/clinical endpoints; Work on the AWS infrastructure (data storage, analysis pipelines, compute nodes and AWS specific user/role/resource permissions); Contribute to More ❯

high volume database architectures • Highly proficient in TSQL including Stored Procedures, Views, Triggers, and UDF's • Have in-depth knowledge of SQL Internal Architecture (Metadata, Indexes, Statistics etc.) • Skilful in performance tuning (using all available tools/techniques), refactoring existing SQL, monitoring high availability clusters and patching live systems • Experienced More ❯