26 to 50 of 158 Metadata Jobs in the UK excluding London

work with a range of structured, semi-structured and unstructured file formats including Parquet, json, csv, xml, pdf, jpg. Tools and methods to develop comprehensive data reliability and active metadata solutions. Ability to work with and develop APIs (including data transformations). Ability to deliver data deidentification and anonymisation solutions. Understanding of Cloud security frameworks (specifically on the AWS Cloud More ❯

in designing and delivering modern data solutions to support advanced analytics and AI-driven initiatives. Key Responsibilities & Experience: Proven expertise in data architecture , including data modelling , analysis , transformation , migration , metadata , and master data management . Track record of delivering data analytics and AI/ML-enabling solutions across complex environments. Hands-on experience with cloud data platforms , ideally AWS (S3 More ❯

and optimising scripts). Experience with AWS Athena and related data warehousing/analytics tools (e.g. Redshift). Understanding of data modelling principles — normalisation, star/snowflake schemas, and metadata management. Knowledge of both SQL and NoSQL databases. Ability to review and enhance existing data pipelines without rebuilding them. Excellent communication and documentation skills, comfortable in a technical, fast-paced More ❯

experience across - TOGAF/Zachman enterprise architecture frameworks Cloud native data platforms - Azure/AWS/GCP Data mesh Data Governance Data Lakehouse, warehouse and virtualisation concepts MDM/Metadata management ETL/ELT processes and data pipeline builds Data readiness for AI Strong understanding of business architecture Be part of a team shaping the future of data-driven technology More ❯

skills and understanding of modern 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. More ❯

succeed You'll bring extensive experience in data engineering within Azure environments, with a strong track record in modernisation and large-scale migration projects. You'll be confident designing metadata-driven frameworks and managing Databricks environments, with hands-on expertise in Python, T-SQL, and PySpark. Your leadership and mentoring skills will be key, alongside your ability to collaborate across More ❯

Microsoft Fabric, Data Factory, OneLake, Dataflows, and Notebooks. Creating robust data models to support analytics and reporting functions. Integrating and transforming data from cloud and on-premise sources using metadata-driven processes. Developing secure, governed multi-tenant data environments with row- and tenant-level access controls. Ensuring data quality, consistency, and compliance across the stack, aligned with industry standards like More ❯

experience in business and data analysis, including interrogation of databases • Proficiency in T-SQL and working knowledge of SQL Server Management Studio • Experience with data governance, data quality, and metadata documentation • Understanding of relational databases, ETL/ELT processes, and APIs • Familiarity with GDPR and data protection regulations • A degree in a STEM subject or equivalent, plus relevant professional certifications More ❯

design * Experience with cloud data 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 to you then please apply, or More ❯

design * Experience with cloud data 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 to you then please apply, or More ❯

Job Description: Data Engineer (with Tableau Specialism) Responsibilities: * Design, develop, and manage data models, schemas, and metadata to support advanced analytics and reporting requirements. * Work closely with Data Analysts, Data Scientists, and Business Analysts to ensure data availability, accessibility, and usability across the organisation. * Implement data quality checks, validation routines, and monitoring processes to maintain data integrity and reliability. * Optimise More ❯

work, and support and comply with all organisational initiatives, policies and procedures on EDI. Skills: Communication skills (data). Data communication. Data governance. Data innovation. Data modelling. Data standards. Metadata management. Problem resolution (data). Strategic thinking (data architecture). Knowledge of agile methods and their implications for Data Architecture. Knowledge of strategic and emerging technology trends, and their practical More ❯

Strong background in Business and Data Analysis , working with large datasets to identify trends, issues, and improvement opportunities Good understanding of data governance and control frameworks , including data lineage, metadata, and quality management Experience supporting functional testing (UAT/data validation) and preparing test scenarios and evidence Familiarity with data management principles across regulatory or risk environments Competent with SQL More ❯

and reconciliation. Strong communication and collaboration abilities across technical and business teams. Desirable: Exposure to Python or other scripting languages for data manipulation. Knowledge of data governance frameworks and metadata management. Experience working with recruitment, CRM or ATS data. What's on Offer A genuine opportunity to contribute to a transformative data excellence programme. A collaborative environment that values curiosity More ❯

and reconciliation. Strong communication and collaboration abilities across technical and business teams. Desirable: Exposure to Python or other scripting languages for data manipulation. Knowledge of data governance frameworks and metadata management. Experience working with recruitment, CRM or ATS data. What's on Offer A genuine opportunity to contribute to a transformative data excellence programme. A collaborative environment that values curiosity More ❯

in a collaborative, forward-thinking 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 SAM solutions into the organisations More ❯

reference architecture into solution design across domains (Commercial, Supply Chain, Enabling Functions). Partner with domain architects, integration, and cybersecurity teams to ensure alignment of data flows, controls, and metadata management. Support the Architecture Review Board (ARB) and data governance forums with clear, structured design artefacts. Governance & Standards Define and maintain solution patterns for data ingestion, transformation, analytics, and sharing. … Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data integration, metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming, ETL/ More ❯

reference architecture into solution design across domains (Commercial, Supply Chain, Enabling Functions). Partner with domain architects, integration, and cybersecurity teams to ensure alignment of data flows, controls, and metadata management. Support the Architecture Review Board (ARB) and data governance forums with clear, structured design artefacts. Governance & Standards Define and maintain solution patterns for data ingestion, transformation, analytics, and sharing. … Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data integration, metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming, ETL/ More ❯

Purview) What You’ll Do 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, and business teams to ensure More ❯

Purview) What You'll Do 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, and business teams to ensure More ❯

Data Platform Operations : Managing production ETL/ELT pipelines and data orchestration frameworks. Ensuring data platform security, compliance, and access controls. Implementing and governing data quality, lineage, observability, and metadata management. Ensuring the sustainability and scalability of our data infrastructure and that it enables the company to achieve its business objectives Data Platform Optimization: Ensuring that the team is working More ❯

Data Platform Operations : Managing production ETL/ELT pipelines and data orchestration frameworks. Ensuring data platform security, compliance, and access controls. Implementing and governing data quality, lineage, observability, and metadata management. Ensuring the sustainability and scalability of our data infrastructure and that it enables the company to achieve its business objectives Data Platform Optimization: Ensuring that the team is working More ❯

play a key role defining Data Governance strategy and frameworks. Ensure Data quality and integrity as well as develop and oversee data quality metrics and KPIs. Manage and oversee Metadata Management practises tools and master data management. Enable a strong Data culture across the business and ensuring Data quality measures and targets and ensuring integrity of Data. Experience required: Strong More ❯

techniques for the Automation of new SharePoint instances. REST APIs and Microsoft Graph. Knowledge of Azure AD integration, permissions, and authentication models. Understanding of information governance, document management, and metadata design. Experience with Agile and DevOps delivery practices. Ability to produce clear documentation, including technical designs and release notes. It would be great if you had: Experience working within secure More ❯

/SOSL, Flow Builder and Experience Cloud Sites. Knowledge in Salesforce system administration and configuring declarative tools such as flows, validation rules, dynamic forms, sharing settings, permission sets, custom metadata types and profiles. Proficiency in using development tools such Salesforce CLI and Visual Studio Code. Experience with tools such as Git (GitLab) for version control and continuous integration, including branching More ❯