1 to 25 of 91 Remote Metadata Jobs

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 ❯

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 ❯

frameworks, and best practices. Strong knowledge of data modeling specifically in Data Vault, Lake, and Relational/Star Schema. Proficiency in data management concepts, including data quality, data lineage, metadata management, and data security. Excellent written and verbal communication skills, with the ability to explain complex technical concepts clearly and effectively. Strong analytical and problem-solving skills, with the ability 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 ❯

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 ❯

working with Parquet Files for efficient data storage and retrieval. Hands-on experience with Airflow for orchestrating complex data workflows. Familiarity with Databricks Medallion model. Familiarity with OpenMetaData for metadata management and data governance. Experience working with streaming and batch data processing frameworks is a plus. Due to US Government Contract Requirements, only US Citizens are eligible for this role. 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 ❯

engineers, analysts, and business stakeholders to gather and translate data requirements . E nsuring data models support operations, business intelligence and analytics use cases . I mplementing and maintaining metadata and data dictionaries . R eviewing and optimising existing data models for performance and scalability . E nsuring data models align with data governance and security standards . M entoring 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 ❯

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 ❯

technical leadership skills. PREFERRED SKILLS: • Experience in DoD environments or IL5/IL6 cloud instances. • Knowledge of ITIL, data governance, and federated data standards. • Background in architecture frameworks and metadata management. COMPENSATION: • Excellent compensation commensurate with experience in related field(s) and performance • Major medical, dental, and vision • Paid holidays • Paid Time Off (PTO) Job Type: Full-time Compensation Package More ❯

UK, Finland or Sweden Fully Remote (2-3 days in Stockholm per month expenses paid for) Outside IR35 Technical Skills: (Minimum 10+ years' experience) Proven experience in data cataloging , metadata management , and data governance Strong understanding of Microsoft Purview , (can understand and validate integration with Azure Data Factory , setup of Purview in a Azure tenant and integration with Databricks Unity 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 ❯

doing: Developing and maintaining the Enterprise Data Architecture and blueprints aligned to business goals and operational needs. Using Retail Industry Data Models, define relevant standards for data designs, models, metadata, contracts and data quality. Designing conceptual and logical data models to support business applications, repositories and data movement. Leading the design and overseeing the implementation of our strategic data platforms 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 ❯