1 to 25 of 64 Remote Metadata Jobs in the UK excluding London

roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership – Mentor cross-functional teams and embed best practices and innovation across projects. Industry Insight More ❯

roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership – Mentor cross-functional teams and embed best practices and innovation across projects. Industry Insight More ❯

roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership – Mentor cross-functional teams and embed best practices and innovation across projects. Industry Insight More ❯

medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs. Experience with infrastructure as code, proficiency using tools such as Terraform to automate and More ❯

Analytical Data Engineer Job Requirements Essential 2-5 years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, ideally Sagemaker Unified Studio. Ability to More ❯

processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with structured and unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Data modelling and database design experience Understanding of and exposure to Operational Data Stores, Data Warehouses, Data Lakes and similar structured data sources and targets in More ❯

processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with structured and unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Data modelling and database design experience Understanding of and exposure to Operational Data Stores, Data Warehouses, Data Lakes and similar structured data sources and targets in More ❯

processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with structured and unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Data modelling and database design experience Understanding of and exposure to Operational Data Stores, Data Warehouses, Data Lakes and similar structured data sources and targets in More ❯

processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with structured and unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Data modelling and database design experience Understanding of and exposure to Operational Data Stores, Data Warehouses, Data Lakes and similar structured data sources and targets in More ❯

platforms, data warehousing (Snowflake), and real-time systems. Experience with data modelling standards (e.g., 3NF, Dimensional, Vault 2.0) and tools (e.g., Erwin, Lucidchart). Strong grasp of data governance, metadata management, and compliance frameworks (e.g., GDPR). Hands-on understanding of Python, SQL, and modern data engineering tools (e.g., Airflow, DBT, Atlan). Exceptional consulting and stakeholder management skills. Career More ❯

Skilled in using documentation and project tracking tools such as Jira, Confluence, or Azure DevOps. Familiarity with cloud data warehouse platforms like Snowflake and related data governance, quality, and metadata management principles. Experienced in reporting and visualization tools, including Power BI, Tableau, and Excel dashboards. We are proud to be a Disability Confident Committed employer. If you have a disability More ❯

Azure services such as Azure SQL Database, Data Factory, Data Lake, Cosmos DB, and more Define the strategic roadmap for cloud platforms and DevOps methodologies Build scalable data models, metadata systems, and data catalogues aligned with business goals Optimise system performance and ensure data accessibility Provide architectural guidance across the full data product lifecycle Collaborate with enterprise architects, solution architects More ❯

Azure services such as Azure SQL Database, Data Factory, Data Lake, Cosmos DB, and more Define the strategic roadmap for cloud platforms and DevOps methodologies Build scalable data models, metadata systems, and data catalogues aligned with business goals Optimise system performance and ensure data accessibility Provide architectural guidance across the full data product lifecycle Collaborate with enterprise architects, solution architects More ❯

Azure services such as Azure SQL Database, Data Factory, Data Lake, Cosmos DB, and more Define the strategic roadmap for cloud platforms and DevOps methodologies Build scalable data models, metadata systems, and data catalogues aligned with business goals Optimise system performance and ensure data accessibility Provide architectural guidance across the full data product life cycle Collaborate with enterprise architects, solution 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 ❯

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 ❯

modelling, and master data management Excellent communication skills and ability to translate business needs into technical solutions Prior experience managing data engineering teams Background in music industry data or metadata (a plus) Compensation & Benefits Salary: Up to £100,000 Bonus: 10% annual performance bonus Pension: Up to 9% employer contribution Hybrid working: 3 days/week in London office More ❯

in building and embedding data governance frameworks and controls. Hands-on experience with Microsoft data technologies (Azure, Purview). Strong knowledge of data management best practices, including data quality, metadata, and lineage. Practical understanding of regulatory requirements impacting data in financial services. Exceptional stakeholder management and communication skills, with the ability to influence senior business and technology partners. Pragmatic and More ❯

managers, imaging analysts, and sponsor representatives to align data handling practices with project goals and regulatory expectations. · Maintain data pipelines specific to medical imaging formats (e.g., DICOM), including anonymisation, metadata integrity checks, and format conversions. The Company Founded in 2022, MyCardium AI is a spin-out from University College London. Our aim is to transform healthcare delivery using AI for More ❯

and identifying opportunities to drive innovation. What you'll bring Proven experience in data architecture, data modelling, and enterprise data strategy. Strong understanding of data governance, data quality, and metadata management. Experience designing data solutions across operational and analytical systems. Excellent stakeholder engagement and communication skills. A passion for innovation and continuous improvement in the data space. Tech you'll … work with Cloud & Data Platforms: Azure Synapse, Azure Data Lake, Azure Data Factory Data Modelling & Integration: SQL, ETL tools, data pipelines Architecture & Governance: Enterprise data models, data catalogues, metadata management Collaboration & Documentation: Agile delivery, architecture documentation, stakeholder workshops Why This Role? You'll be joining a forward-thinking team where data is central to decision-making and innovation. This is More ❯

Key Responsibilities: Data Pipelines and ETL Processes ETL Design: Design and implement ETL processes within MaPS architectural patterns to extract, transform, and load data from various source systems into our reporting solutions. Pipeline Development: Develop and configure meta-data driven More ❯

to senior leadership Define and implement data-driven pricing strategies Design data operating models, target architectures, and transformation roadmaps Define data ownership models, stewardship roles, and quality KPIs Support metadata management, lineage tracking, and data cataloging initiatives To be successful in this role, you will have: Strong track record working in data advisory, strategy, or management roles Consulting experience within More ❯

evaluate data sources in collaboration with data architects, data owners, SMEs, and stakeholders. Develop and enforce governance policies and standards for authoritative data sources. Document data flows, provenance, and metadata to support transparency, traceability, and regulatory compliance. Provide training and guidance to colleagues and data consumers on interpreting and using authoritative data assets. About You You will bring strong expertise More ❯

organisational strategy, with a strong understanding of how data governance supports overall organisational objectives. Significant experience in leading on, defining and implementing data governance principles, including data quality management, metadata management, master data management, and data lifecycle management. Proven experience in leading on and developing data standards and establishing robust data governance frameworks, including boards, networks, and forums. An effective More ❯