10 of 10 Permanent Metadata Jobs in Berkshire

roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership – Mentor cross-functional teams and embed best practices and innovation across projects. Industry Insight More ❯

medallion-based architecture, with curated 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 as Terraform to automate and manage More ❯

glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing and visualization. More ❯

Strong knowledge of data modelling tools Expertise in relational and non-relational database systems Experience in enterprise data architecture, data warehousing, and data integration Strong understanding of data governance, metadata, and data quality principles More ❯

one. Please note that this role is office-based (Finsbury Square, Monday to Friday). Responsibilities Build and maintain services that support AI agent interaction. Implement APIs, contracts, and metadata aligned with the Model Context Protocol. Develop internal tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in More ❯

or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams to understand data requirements and implement appropriate solutions. • Ensure data quality, integrity, and security throughout the data pipeline. … Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building metadata driven pipelines. • Knowledge of Azure Storage, Medallion Architecture, and working with data formats such as JSON, CSV, and Parquet. • Strong understanding of IT concepts, including security, IAM, Key Vault, and More ❯

and in small groups. • Ability to organise information at a high level. • An understanding of image size and resolution, a good working knowledge of Photoshop. • Understanding the role of metadata and taxonomy in Asset Management. • A good understanding of UHD/HD video formats. • Working Knowledge of framerates, conversions and codecs. • An understanding of file based post-production workflows. More ❯

Build and execute content strategies to improve rankings for high-intent and mid-funnel keywords Conduct keyword research , competitor audits, and gap analysis across product and sector pages Optimise metadata, internal linking, and site structure for improved crawlability and performance Work with web development team on technical SEO fixes (Core Web Vitals, schema, redirects, multilingual site setup) Oversee link building More ❯

Data Quality Analyst 12 months FTC Reading Hybrid working – 3 days per week in Office Main Purpose of the Role: To own and develop Data Quality Reports, to set up and maintain automated data processes and support the business in More ❯

Build trusted relationships with creators, licensors, and ecosystem partners. Negotiate smartly: Close agreements and licensing terms balancing quality, cost, compliance, and (where right) exclusivity. Smooth onboarding: Help partners prepare metadata/assets and list content on the platform. Voice of the customer: Capture structured feedback and feed it into the product roadmap. Keep it compliant: Work with legal to ensure … legal, and engineering. Experience in data marketplaces, digital content platforms, or the creative industries. End-to-end ownership of complex sourcing projects (from identification to integration). Familiarity with metadata standards and content cataloguing. To find out more, please apply today! Source is passionate about providing a working environment that is welcoming, supportive and equitable for all. We seek individuals More ❯