1 to 25 of 87 Permanent Metadata Jobs in the UK excluding London

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.

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

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

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.

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

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

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

C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination, openness to innovation. Strong Microsoft Office 365 experience Interested? Please submit your updated

With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards and analytics ETL & Data Modelling: T-SQL, metadata-driven pipelines Design and implement scalable Azure-based data solutions Build and optimise data pipelines for integration and transformation Develop Power BI dashboards for global

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 What you'll do Design and implement scalable Azure-based data solutions Build and optimise data pipelines for integration and transformation Develop Power

Knowledge: * Profound understanding of data management principles, methodologies, and best practices. * Familiarity with data analytics tools, techniques, and technologies. * Strong understanding of data architecture, metadata management, and data quality techniques * Knowledge of project management methodologies, such as Agile, Scrum, or Waterfall. * Understanding of business intelligence concepts and practices. * Awareness

LLMs, embeddings) Make Power BI dashboards that actually refresh when they're supposed to Implement governance that doesn't make people want to scream (metadata tagging, lineage tracking, the good stuff) Collaborate with brilliant behavioural scientists and product teams who'll challenge them in the best ways The ideal candidate

monitoring, and remediation strategies. Provide architectural guidance on MDM platform selection, cloud vs. on-prem deployment, and integration patterns (API, ETL, messaging). Support metadata management, lineage tracking, and compliance initiatives. Skills & Experience Required: Hands-on experience with more than one MDM technology/platform (e.g., Riversand, Informatica MDM, Semarchy

data architecture principles. Hands-on experience with Tableau for enterprise-grade dashboard development. Familiarity with orchestration tools (e.g., Prefect, Airflow), data quality frameworks, and metadata tools. Proficiency in Git, CI/CD, and scripting with Python. Excellent communication skills and ability to work collaboratively across technical and business teams.

align data models with reporting, AI, and automation needs. You'll also contribute to the adoption of CI/CD, version control, and metadata-driven practices that enhance scalability and trust in analytics outputs. This is a hands-on role where technical precision and design thinking come together to enable

monitoring, and remediation strategies. Provide architectural guidance on MDM platform selection , cloud vs. on-prem deployment , and integration patterns (API, ETL, messaging). Support metadata management , lineage tracking , and compliance initiatives. Excellent communication and stakeholder management skills. Experience in multi-domain MDM (Customer, Supplier, Location, etc.) is a strong plus.

platforms with Microsoft Fabric as the preferred option * Experience with modern data warehousing * Strong data modelling skills across relational and NoSQL * Experience with governance, metadata, master data and integration including ETL ELT and API based approaches NO SPONSORSHIP can be offered for this role. if that sounds of interest

platforms with Microsoft Fabric as the preferred option * Experience with modern data warehousing * Strong data modelling skills across relational and NoSQL * Experience with governance, metadata, master data and integration including ETL ELT and API based approaches NO SPONSORSHIP can be offered for this role. if that sounds of interest

Lead the greenfield implementation of Purview and support migration to Microsoft Fabric . Develop and deliver a Data Management roadmap , introducing capabilities such as Metadata Management, Data Lineage, Business Glossaries, and Data Dictionaries. Champion Data Ownership and Stewardship communities and drive a Data Literacy programme . Collaborate with IT, compliance

environment. Your new role Define and implement the data engineering strategy aligned with business and technology goals. Lead development of data ingestion, quality, and metadata pipelines powering SAM's supervisory tools. Deliver scalable, secure, and production-ready data platforms using Azure and Databricks. Collaborate across Technology and DAT to integrate

Architecture (Bronze ? Silver ? Gold) . Implement ingestion patterns for files, APIs, SaaS platforms (e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models