1 to 25 of 42 Remote Metadata Jobs in the UK excluding London

teams to embed data standards and improve adoption across the region. Key Skills and Experience: Strong experience in data governance, data quality management, and metadata practices. Proven understanding of BCBS239 and its application within a Tier 1 or Tier 2 banking environment. Familiarity with Risk and Finance data domains and 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 ❯

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 ❯

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 ❯

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 ❯

Unit Testing - Experience in writing unit tests for data pipelines. Data Architecture - Knowledge or experience in implementing, Kimball style Data Warehouse. Experience in building Metadata with Azure Purview or Data Lake Gen2. Data Quality - Experience in applying Data Quality rules within Azure Data Flow Activities. Data Transformation - Extensive hands-on More ❯

Unit Testing - Experience in writing unit tests for data pipelines. Data Architecture - Knowledge or experience in implementing, Kimball style Data Warehouse. Experience in building Metadata with Azure Purview or Data Lake Gen2. Data Quality - Experience in applying Data Quality rules within Azure Data Flow Activities. Data Transformation - Extensive hands-on More ❯

Responsibilities will include: Data Create and maintain robust and scalable data pipelines to ingest, process, and transform data from various sources, ensuring data and metadata quality, accuracy, and consistency. This will include working with large and complex datasets, such as census and international data. Responsibility for implementation of data governance More ❯

Dimensional modelling methods Implement automated, reusable and efficient batch data pipelines and streaming data pipelines Work closely with Governance and Quality teams to ensure metadata, catalogue, lineage and known solutions to data issues are optimised Work closely with other data specialists and technicians in the organisation, such as Actuarial and More ❯

stakeholders to define data ownership, data quality rules, and stewardship responsibilities. Monitor and resolve data quality issues across systems, promoting consistency and integrity. Maintain metadata repositories, data dictionaries, and documentation of data flows. Contribute to data privacy and compliance initiatives, including GDPR. Support the delivery of data literacy programmes and More ❯

refining processes and improving the agility and quality of delivery. Supporting the adoption and optimisation of tools such as Alation for data cataloguing and metadata management. Working closely with business and technical stakeholders to ensure our data models are of the highest quality and fit for purpose. What you'll More ❯

date and accurate documentation, including lineage, for all production solutions. Monitoring and optimising the performance of data warehouse systems. Managing data models, schemas, and metadata repositories. Maintaining operational data warehouse builds and resolving issues promptly. Ensuring adherence to agreed standards and controls for data marts and operational data stores. Leading More ❯

date and accurate documentation, including lineage, for all production solutions. Monitoring and optimising the performance of data warehouse systems. Managing data models, schemas, and metadata repositories. Maintaining operational data warehouse builds and resolving issues promptly. Ensuring adherence to agreed standards and controls for data marts and operational data stores. Leading More ❯

date and accurate documentation, including lineage, for all production solutions. Monitoring and optimising the performance of data warehouse systems. Managing data models, schemas, and metadata repositories. Maintaining operational data warehouse builds and resolving issues promptly. Ensuring adherence to agreed standards and controls for data marts and operational data stores. Leading More ❯

and high throughput. Execute practices such as continuous integration and test driven development to enable the rapid delivery of working code. Design and build metadata driven data pipeline using Python and SQL in accordance with guidelines set by the Data Architect Ship medium to large features independently using industry standard More ❯

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 More ❯

Solid understanding of cloud-based platforms (especially Microsoft Azure and Snowflake) Practical experience designing or managing data pipelines and migrations Skilled in data profiling, metadata management, and compliance (GDPR, CCPA, etc.) Comfortable leading initiatives and collaborating with technical and non-technical stakeholders CDMP or DCAM certification is a bonus, but 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 ❯

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 ❯

Extensive knowledge of working with data protection and GDPR compliance Comprehensive of understanding of data management and governance practices including data quality, data security, metadata, master data manager Understanding of technical tools to support data governance practices, e.g. MS Purview Leading and managing a team including work prioritisation and task 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 ❯

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 ❯

. Extensive knowledge of working with data protection and GDPR compliance. Comprehensive understanding of data management and governance practices including data quality, data security, metadata, master data management. Understanding of technical tools to support data governance practices, e.g. MS Purview. Leading and managing a team including work prioritisation and task More ❯

with version control systems, including Git, with experience in branching strategies and pull requests Proven ability to automate CI/CD pipelines for Salesforce metadata and SFDX projects In-depth understanding of Salesforce APIs , CLI tools, and deployment methods such as Change Sets and Unlocked Packages Hands-on experience with More ❯

rules address standardization phone and customer validation to improve the accuracy Experience in profiling the source data define or confirm the definition of the metadata cleanse and standardize Assess current Installation and domain configuration Recommend best practices 7 to 12 years of experience with multiple Data Quality and Data Integration More ❯