1 to 25 of 71 Metadata Jobs in the UK excluding London

ELT Frameworks Design robust data pipelines using tools like Cloud Composer, Dataflow, Dataproc, Informatica, or IBM DataStage, supporting both batch and streaming ingestion. Data Governance & Quality Implement governance frameworks, metadata management, and data quality controls using platforms such as Unity Catalog, Alation, Profisee, or DQ Pro. Client Advisory Act as a trusted advisor to senior client stakeholders (CDOs, CIOs, Heads More ❯

Analytical Data Engineer Job Requirements Essential 2-5 years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, ideally Sagemaker Unified Studio. Ability to More ❯

skills, with the ability to articulate solutions to both engineers and business stakeholders. Bonus points: Azure Cloud certifications. Experience with dbt and modern orchestration tools. Exposure to data governance, metadata management, or data quality frameworks. What's on offer: Competitive salary package (up to £XX,XXX , depending on experience). Benefits package including healthcare, pension, and wellbeing perks. Hybrid working More ❯

skills, with the ability to articulate solutions to both engineers and business stakeholders. Bonus points: Azure Cloud certifications. Experience with dbt and modern orchestration tools. Exposure to data governance, metadata management, or data quality frameworks. What's on offer: Competitive salary package (up to £XX,XXX , depending on experience). Benefits package including healthcare, pension, and wellbeing perks. Hybrid working More ❯

Design and implement conceptual, logical, and physical data models (3NF, Kimball, Data Vault) Architect and optimise data platforms including data lakes , lakehouses , and data warehouses Lead the development of metadata-driven ingestion and transformation pipelines Ensure compliance with GDPR and internal data governance policies Collaborate with engineering and delivery teams to define and align technical direction Oversee the full data More ❯

ETL workflows.• Develop and optimise relational and non-relational database systems.• Collaborate with analysts, researchers, and IT teams to deliver tailored data solutions.• Implement and maintain data governance and metadata frameworks.• Ensure data security, integrity, and compliance with regulations such as GDPR.• Contribute to data architecture design and enterprise data strategy.• Lead technical data planning within change programmes.• Explore and More ❯

platforms, data warehousing (Snowflake), and real-time systems. Experience with data modelling standards (e.g., 3NF, Dimensional, Vault 2.0) and tools (e.g., Erwin, Lucidchart). Strong grasp of data governance, metadata management, and compliance frameworks (e.g., GDPR). Hands-on understanding of Python, SQL, and modern data engineering tools (e.g., Airflow, DBT, Atlan). Exceptional consulting and stakeholder management skills. Career More ❯

and innovation Technology Cloud & Data Platforms: Azure Synapse, Azure Data Lake, Azure Data Factory Data Modelling & Integration: SQL, ETL tools, data pipelines Architecture & Governance: Enterprise data models, data catalogues, metadata management Collaboration & Documentation: Agile delivery, architecture documentation, stakeholder workshops Join a business where data is at the heart of decision-making and where you can work on exciting projects that More ❯

and innovation Technology Cloud & Data Platforms: Azure Synapse, Azure Data Lake, Azure Data Factory Data Modelling & Integration: SQL, ETL tools, data pipelines Architecture & Governance: Enterprise data models, data catalogues, metadata management Collaboration & Documentation: Agile delivery, architecture documentation, stakeholder workshops Join a business where data is at the heart of decision-making and where you can work on exciting projects that 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 ❯

DB and more Making informed decisions on the strategic direction and roadmap for the use and implementation of cloud platforms and DevOps methodologies. Design scalable and efficient data models, metadata systems, and data catalogues aligned with business objectives. Optimise performance and resolve issues to ensure data accessibility and responsiveness. Provide guidance and oversight to project teams on data architecture and More ❯

Skilled in using documentation and project tracking tools such as Jira, Confluence, or Azure DevOps. Familiarity with cloud data warehouse platforms like Snowflake and related data governance, quality, and metadata management principles. Experienced in reporting and visualization tools, including Power BI, Tableau, and Excel dashboards. We are proud to be a Disability Confident Committed employer. If you have a disability More ❯

expertise with Talend and Snowflake Solid knowledge of ETL tools and data transformation techniques (JSON, XML) Proficiency in SQL, Python, or other scripting languages for automation Strong understanding of metadata structures, relational databases, and data modeling Hands-on experience with version control and CI/CD practices Excellent analytical and problem-solving skills Strong communication skills and ability to work More ❯

Azure services such as Azure SQL Database, Data Factory, Data Lake, Cosmos DB, and more Define the strategic roadmap for cloud platforms and DevOps methodologies Build scalable data models, metadata systems, and data catalogues aligned with business goals Optimise system performance and ensure data accessibility Provide architectural guidance across the full data product lifecycle Collaborate with enterprise architects, solution architects More ❯

Azure services such as Azure SQL Database, Data Factory, Data Lake, Cosmos DB, and more Define the strategic roadmap for cloud platforms and DevOps methodologies Build scalable data models, metadata systems, and data catalogues aligned with business goals Optimise system performance and ensure data accessibility Provide architectural guidance across the full data product lifecycle Collaborate with enterprise architects, solution architects More ❯

technical and business stakeholders to ensure shared understanding and effective solutions. Main duties of the job Accountabilities Work with the engineering team to implement enterprise data models, pipelines, and metadata management Collaborate with business, product, and engineering teams to understand data needs and translate them into functional data products, aligning our data architecture with wider organisational digital strategies and priorities … tasks. Advanced database manipulation and administration skills, particularly T-SQL, Azure SQL, as well as capacity with unstructured and unlinked data management languages. Experience using and implementing schema and metadata design (e.g., star schema, snowflake, normal forms), with strong understanding of master and reference data management. Experience working with Azure/GCP building and managing data solutions such as data … visualisation, APIs, including understanding and application of good practice in these areas oEvidence of developing and delivering effective data engineering projects, including data architecture, data modelling, ETL processes, and metadata management concepts oEvidence of using tools such as Git, GitHub and/or Azure DevOps to effectively manage work flow, version control, and collaborative development, and use of Agile delivery More ❯

modelling, and master data management Excellent communication skills and ability to translate business needs into technical solutions Prior experience managing data engineering teams Background in music industry data or metadata (a plus) Compensation & Benefits Salary: Up to £100,000 Bonus: 10% annual performance bonus Pension: Up to 9% employer contribution Hybrid working: 3 days/week in London office More ❯

engagement. Data Management & Quality Assurance Establish data governance protocols for spatial data accuracy, completeness, and consistency. Implement ETL workflows using ArcGIS Data Interoperability tools or third-party solutions. Manage metadata standards and spatial data cataloging. Security & Access Control Configure role-based access controls and user permissions. Ensure compliance with data privacy and security standards. Implement secure data sharing protocols with More ❯

knowledge of Azure Cloud Services (DataBricks, ADF, Azure SQL, CosmosDB). Proficiency in Kimball methodology and Data Vaults. Experience with MDM, data cataloguing, and lineage management. Skilled in designing metadata-driven ingestion and transformation pipelines. Proven track record in agile delivery environments (SCRUM, PRINCE2, Lean). Excellent communication skills-able to bridge technical and non-technical audiences. Passion for emerging More ❯

reusable data products for analytics, reporting and client engagement Collaborate with stakeholders to translate strategic objectives into technical architecture and delivery roadmaps Define and implement data governance standards including metadata management and access controls Support DevOps practices using tools like Terraform, GitLab and Cloud Build Why Lloyds Banking Group: Like the modern Britain we serve, we're evolving. Investing billions More ❯

on experience with RAG systems , vector databases (pgvector/FAISS/Weaviate/ES k-NN), embeddings , and hybrid search (BM25 + vectors). Strong grasp of chunking strategies , metadata, indexing, recall/precision trade-offs, reranking, and evaluation (ground-truth sets, offline/online metrics). Strong proficiency in Python (FastAPI) and React/Next.js . Solid experience with More ❯

on experience with RAG systems, vector databases (pgvector/FAISS/Weaviate/ES k-NN), embeddings, and hybrid search (BM25 + vectors). Strong grasp of chunking strategies, metadata, indexing, recall/precision trade-offs, reranking, and evaluation (ground-truth sets, offline/online metrics). Strong proficiency in Python (FastAPI) and React/Next.js. Solid experience with SQL More ❯

goals Apply governance frameworks and ensure accountability The successful Data Quality Analyst will have: Proficient in BI tools (e.g., Power BI) Familiar with Agile and Waterfall methodologies Experience with metadata management, data catalogues, and stewardship tools Understanding of Master Data Management principles Desirable Proven success in data governance programs Operational and change management experience Ready to help shape the future More ❯

in enterprise data architecture within complex environments Hands-on expertise with Kimball and Data Vault 2.0 methodologies Experience designing models across raw, business, and consumption layers Solid understanding of metadata, cataloguing, and data governance practices Working knowledge of modern data platforms such as Databricks, Azure, Delta Lake, etc. Excellent communication and stakeholder engagement skills Data Architect - Benefits: Competitive base salary More ❯

managers, imaging analysts, and sponsor representatives to align data handling practices with project goals and regulatory expectations. · Maintain data pipelines specific to medical imaging formats (e.g., DICOM), including anonymisation, metadata integrity checks, and format conversions. The Company Founded in 2022, MyCardium AI is a spin-out from University College London. Our aim is to transform healthcare delivery using AI for More ❯