10 of 10 Metadata Management Jobs in the North of England

sources meet our data standards and are quickly usable for business intelligence. You'll help put controls in place — such as access policies, metadata layers, and automated data quality checks — to ensure long-term stability. Experience with a data governance platform like Alation is desirable. While predominantly remote/… confidently sign off datasets as fit for consumption Put testing strategies in place to detect data issues early and often Contribute to access management, metadata management, and wider data governance practices Help shape our approach to reliable data delivery for internal and external customers Skills & Experience Required ...

sources meet our data standards and are quickly usable for business intelligence. You'll help put controls in place — such as access policies, metadata layers, and automated data quality checks — to ensure long-term stability. Experience with a data governance platform like Alation is desirable. While predominantly remote/… confidently sign off datasets as fit for consumption Put testing strategies in place to detect data issues early and often Contribute to access management, metadata management, and wider data governance practices Help shape our approach to reliable data delivery for internal and external customers Skills & Experience Required ...

Server, SSIS and Alteryx amongst other technologies. Operating within a product centric model, the role flexes across multiple capability areas—including Master Data Management (MDM), data archiving and lifecycle management, integration engineering, and specialist engineering domains to ensure data is reliable, accessible, secure, and value-generating. Data Engineers … processes performs optimally Troubleshooting; identifying and fixing pipeline bottlenecks and data issues Understanding of data governance, data quality, and best practices The Data Management team: Our Data Management team is an innovative, customer‐focused group of data engineers and specialists responsible for building trusted enterprise data foundations. ...

Machine Learning and Fabric experiences to operationalise models and drive business insights. Design, monitor and optimise data pipelines and platform performance: Use Fabric capacity management, pipeline monitoring, logging, and operational best practices to improve reliability, throughput, cost, and scalability. Collaborate with cross-functional teams: Work closely with business analysts … data engineers, data scientists, and platform/DevOps teams to implement secure CI/CD, environment management, and a scalable Fabric workspace and governance model. Stay ahead of the curve: Continuously learn and adapt to the evolving Microsoft data platform landscape, including ADF, Microsoft Fabric, Synapse, Purview, and related ...

cross-functional teams: Work closely with business analysts, data engineers, data scientists, and platform/DevOps teams to implement secure CI/CD, environment management, and scalable multi-account patterns (e.g., landing zones) for governed delivery. Stay ahead of the curve: Continuously learn and adapt to the evolving … environment separation (dev/test/prod), naming standards, and guardrails that enable secure self-service while maintaining control and consistency. Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using AWS Glue Data Catalog, AWS Lake Formation, and aligned standards for trusted, auditable ...

with Databricks. Data Engineering & Platform Build Build and optimize large-scale ETL/ELT pipelines using PySpark, SQL, and Delta. Oversee data quality frameworks, metadata management, lineage, and monitoring. Leadership & Stakeholder Engagement Work closely with business leaders and product teams to translate requirements into robust technical solutions. Guide … BFSI, Retail, Telecom, or Healthcare data environments. Experience with real-time data processing (Kafka, EventHub, Kinesis). Soft Skills Excellent communication and stakeholder management skills. Strong problem-solving and solution-oriented mindset. Ability to lead in a fast-paced and dynamic environment. Collaborative, proactive, and able to provide strong ...

data engineering — this is a small team that needs to move fast, and we expect the use of AI‐assisted pipeline development and management to be embedded in how we work Data Governance Lead the Data Governance function from a standing start — we have no established governance framework … this is a greenfield opportunity to build it properly Own the framework for how THG manages data quality, metadata, data definitions and lineage across PLC Work with Ingenuity to ensure governance standards are consistent across both PLC and Ingen data infrastructure Build the culture and processes that make governance ...

including ingestion pipelines, transformation logic, data quality rules, governance policies, and access patterns. Oversee integration of multiple data domains, ensuring interoperability, data lineage, and metadata management. Partner with data engineering teams on performance optimization, cost management, and scalability planning. Execute Through Agile Delivery: Facilitate Agile ceremonies and maintain … complex features into incremental releases with clear technical dependencies. Define sprint goals aligned with quarterly objectives and long-term product vision. Balance technical debt management with feature delivery, advocating for enablers and architectural improvements. Enable Technical Decision-Making: Conduct technical due diligence, proofs-of-concept, and spike solutions ...

including ingestion pipelines, transformation logic, data quality rules, governance policies, and access patterns. Oversee integration of multiple data domains, ensuring interoperability, data lineage, and metadata management. Partner with data engineering teams on performance optimization, cost management, and scalability planning. Execute Through Agile Delivery: Facilitate Agile ceremonies and maintain … complex features into incremental releases with clear technical dependencies. Define sprint goals aligned with quarterly objectives and long-term product vision. Balance technical debt management with feature delivery, advocating for enablers and architectural improvements. Enable Technical Decision-Making: Conduct technical due diligence, proofs-of-concept, and spike solutions ...

including ingestion pipelines, transformation logic, data quality rules, governance policies, and access patterns. Oversee integration of multiple data domains, ensuring interoperability, data lineage, and metadata management. Partner with data engineering teams on performance optimization, cost management, and scalability planning. Execute Through Agile Delivery: Facilitate Agile ceremonies and maintain … complex features into incremental releases with clear technical dependencies. Define sprint goals aligned with quarterly objectives and long-term product vision. Balance technical debt management with feature delivery, advocating for enablers and architectural improvements. Enable Technical Decision-Making: Conduct technical due diligence, proofs-of-concept, and spike solutions ...