1 to 25 of 189 Metadata Jobs in the UK

same Other Skills Proficiency in developing and maintaining complex data models (conceptual, logical and physical). Strong skills in data governance and metadata management. Experience with data integration design and implementation. Ability to write efficient, maintainable code for large scale data systems. Experience with CI/CD pipelines, version control

e.g., TensorFlow, PyTorch, scikit-learn). Ability in data science languages/tools such as R, SAS, or Excel Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure

e.g., TensorFlow, PyTorch, scikit-learn). Ability in data science languages/tools such as R, SAS, or Excel Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure

data models, pipelines, and integration frameworks. Support the implementation of Customer Data Platforms (CDPs), MDM, and CRM systems. Ensure compliance with data governance, metadata standards, and data quality frameworks. Collaborate with stakeholders to define data architecture vision and roadmap. Contribute to the development of reusable architecture assets and design patterns.

access controls in Power BI and Azure environments. Ensure alignment with data governance policies, privacy regulations, and retention standards. Maintain comprehensive documentation and metadata for all data assets. 4. Stakeholder Collaboration & Support Partner with analysts, data scientists, and business users to deliver trusted and well-structured data solutions. Provide support

monitoring, validation processes, and performance optimisation. Support AI initiatives by designing AI marts, feature engineering structures, and ML-ready datasets. Contribute to standardised KPIs, metadata, and a single source of truth for reporting. Work with business teams to translate complex requirements into scalable, high-impact models. Support agile delivery

/design thinking and solutioning Identify emerging DataOps and AI challenges and solutions required to overccome Guide in the application of enterprise data and metadata management technologies About Us We’re a global, 300-strong, tight-knit team of innovators. Together, we harness engineering excellence and passion for insight

warehouses, tasks, streams, and Snowpark. Familiarity with replication and transformation tools (Airbyte, DBT) and cloud ecosystems (AWS preferred). Strong understanding of data governance, metadata, and lineage frameworks. Experience enabling BI tools (e.g., Power BI) through Snowflake data models. Desirable: Experience in data migration, change management, and enterprise rollout

assurance reviews. Skills & Experience: Proven experience leading data quality initiatives in large or regulated organisations. Strong understanding of data governance, data management, and metadata practises. Hands-on experience with data quality tooling (e.g., Microsoft Purview, Informatica, Collibra, Talend). Familiarity with cloud-based data architectures (Azure, Databricks, Power BI).

assurance reviews. Skills & Experience: Proven experience leading data quality initiatives in large or regulated organisations. Strong understanding of data governance, data management, and metadata practises. Hands-on experience with data quality tooling (e.g., Microsoft Purview, Informatica, Collibra, Talend). Familiarity with cloud-based data architectures (Azure, Databricks, Power BI).

data quality, error handling, automation, and monitoring. Manage data security and governance, including Row-Level Security (RLS) and compliance standards. Maintain documentation and metadata for data assets and pipeline architecture. Collaborate with analysts, data scientists, and stakeholders to deliver trusted data products. Provide technical support and troubleshoot production issues. Contribute

Python, and SharePoint. Solid understanding of data engineering, ETL processes, DataIKU, and data integration. Experience in data governance or data-management roles (data quality, metadata, controls). Demonstrated project-management ability across complex technical initiatives. Excellent analytical, problem-solving, communication, and stakeholder-management skills. Please send your CV for consideration.

data quality, error handling, automation, and monitoring. Manage data security and governance, including Row-Level Security (RLS) and compliance standards. Maintain documentation and metadata for data assets and pipeline architecture. Collaborate with analysts, data scientists, and stakeholders to deliver trusted data products. Provide technical support and troubleshoot production issues. Contribute

heart of transforming legacy systems into scalable, production-grade architectures using Microsoft Fabric. You'll build complex ingestion pipelines, craft metadata-driven transformation layers, optimise data workflows, and deliver high-quality semantic models that power enterprise reporting. You'll work across Microsoft Fabric, Power BI, Power Platform, Dynamics

heart of transforming legacy systems into scalable, production-grade architectures using Microsoft Fabric. You'll build complex ingestion pipelines, craft metadata-driven transformation layers, optimise data workflows, and deliver high-quality semantic models that power enterprise reporting. You'll work across Microsoft Fabric, Power BI, Power Platform, Dynamics

data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau, QuickSight, or similar. Data Governance Tools: Experience with data cataloguing, metadata management, and data lineage tools. Contextual Understanding: Passionate about data quality, governance, and understanding the business context behind the data. This role is London-based

data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau, QuickSight, or similar. Data Governance Tools: Experience with data cataloguing, metadata management, and data lineage tools. Contextual Understanding: Passionate about data quality, governance, and understanding the business context behind the data. This role is London-based

experience in agile environments. Desirable: Experience with streaming data (Kafka/Kinesis), Docker/Kubernetes, Terraform, CI/CD pipelines, NoSQL databases, and metadata management tools. Company Benefits: Enhanced Parental Leave Generous annual leave Healthcare Plan Annual Giving Day - an extra day to give back to yourself or your community

columnar data stores (e.g., SQL, Postgres,BigQuery). Familiarity with semantic data models or knowledge graphs. Understanding of data versioning, provenance tracking, and metadata management. Strong problem-solving and debugging skills with attention to scalability and performance. Comfort working in collaborative, cross-functional environments. We’d Love To See Experience

Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation rules Document pipeline logic and contribute to business-wide metadata catalogues Collaborate with BI, Change, and Product teams to align data outputs to needs Support groundwork for future data science and machine learning initiatives

Contract Role: Metadata Management Specialist Location: Hybrid (London - likely 1-2 days onsite per week) Duration: 6 months IR35 Status: SDS to be determined Key Responsibilities Own and maintain interim DMO metadata management repositories Ensure metadata complies with policy standards Collaborate with data owners and stewards to populate business metadata … CDEs Work with project managers to capture technical metadata for MITBIT initiatives Establish and execute attestation and change management processes Support documentation of data lineage where required Assist in identifying long-term and interim metadata management tools Promote standardisation, visibility, and corporate-wide adoption of metadata Hands-on involvement

Contract Role: Metadata Management Specialist Location: Hybrid (London - likely 1-2 days onsite per week) Duration: 6 months IR35 Status: SDS to be determined Key Responsibilities Own and maintain interim DMO metadata management repositories Ensure metadata complies with policy standards Collaborate with data owners and stewards to populate business metadata … CDEs Work with project managers to capture technical metadata for MITBIT initiatives Establish and execute attestation and change management processes Support documentation of data lineage where required Assist in identifying long-term and interim metadata management tools Promote standardisation, visibility, and corporate-wide adoption of metadata Hands-on involvement

Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines DevOps: CI/CD Bonus: Python What you'll do Design and implement scalable Azure-based data solutions Build and optimize data pipelines

Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines DevOps: CI/CD Bonus: Python What you'll do Design and implement scalable Azure-based data solutions Build and optimize data pipelines

risk data aggregation requirements. Good if you have experience with risk modelling tools (SAS, Python) and ETL frameworks. Familiarity with data governance, lineage, and metadata management. Excellent problem-solving and communication skills.