1 to 25 of 344 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 ...

data technologies, tools, and platforms to enhance data capabilities. Oversee data integration across cloud and on-premises environments. Support data governance initiatives, including metadata management, master data management (MDM), and compliance. Provide technical leadership and mentorship to data engineering and analytics teams. What You'll Bring Successful Candidates will have ...

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 ...

Skills/Experiences: Experience with any of the following: Azure, AWS and GCP cloud database technologies Design optimum data models, data dictionaries and metadata systems to support business needs Define data architecture standards for the organisation to support client needs Work with technical architects to ensure that client systems ...

teams to gather requirements and design solutions. Provide guidance on data integration, transformation, and migration strategies. Establish and maintain enterprise data models, data dictionaries, metadata repositories, and data lineage documentation. Ensure data models comply with organisational policies and regulatory requirements. Optimise data products and their components for performance, scalability ...

Skills & Experience Proven experience as a Data Architect or Senior Data Engineer in complex, secure environments. Strong expertise in data modelling, data integration, and metadata management. Knowledge of defence sector data standards and secure data handling procedures. Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud ...

integration of third-party providers. Exposure to Agile methodologies such as Scrum or Kanban. Hands-on knowledge of data governance and quality frameworks, including metadata management and regulatory considerations. Familiarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment ...

implement data models, schemas, and structures. Ensure that data models support business reporting and analytics needs while optimizing query performance. Maintain data dictionaries and metadata to document data structures and relationships. Performance Optimization Optimize data storage, retrieval, and query performance by implementing indexing, partitioning, and caching strategies. Monitor data processing ...

implement data models, schemas, and structures. Ensure that data models support business reporting and analytics needs while optimizing query performance. Maintain data dictionaries and metadata to document data structures and relationships. Performance Optimization Optimize data storage, retrieval, and query performance by implementing indexing, partitioning, and caching strategies. Monitor data processing ...

with Azure services including Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Azure SQL, and Event Hub. * Implement data quality validation, monitoring, metadata management, and governance processes. * Collaborate closely with data architects, analysts, and business stakeholders to understand data requirements. * Optimize Databricks clusters, jobs, and runtimes for performance ...

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 ...

engineer data pipelines to be scalable, robust, automatable, and repeatable Navigate, explore and query large scale datasets Build processes supporting data transformation, data structures, metadata, dependency and workload management Identify and resolve data issues including data quality, data mapping, database and application issues Implement data flows to connect operational systems ...

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 ...

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 ...

understand data needs and deliver solutions Identifies and implement process improvements and automate manual workflows Redesigns infrastructure for scalability and performance Documents data models, metadata, and machine learning processes for transparency and compliance Required Qualifications, Capabilities, And Skills Proven experience in data engineering, data modeling, and database architecture. Hands ...

understand data needs and deliver solutions Identifies and implement process improvements and automate manual workflows Redesigns infrastructure for scalability and performance Documents data models, metadata, and machine learning processes for transparency and compliance Required Qualifications, Capabilities, And Skills Proven experience in data engineering, data modeling, and database architecture. Hands ...

/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 ...

Snowflake, Redshift, Databricks, NoSQL Big data/lakehouse tools (e.g. Spark) Cloud: AWS (data services), plus Azure/GCP exposure Data governance & quality (lineage, metadata, data quality processes) Analytics & BI: Tableau, Power BI, QlikView and their backend needs Commercial & Soft Skills Comfortable with senior scientific and technical stakeholders Strong ...

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 ...

cost-efficient S3 data lake structures (bronze/silver/gold zones). Implement data lifecycle policies, versioning, and partitioning strategies. Ensure data governance, metadata quality, and security (IAM, Lake Formation). 6. Telecom Domain Expertise Understand telecom-specific datasets such as: CDR, xDR, subscriber data Network KPIs (4G/ ...

manage a wide range of data sources within Snowflake, including: Adalyser Meta Ads Google Ads HubSpot Aircall Performance tracking data Product imagery + metadata from bespoke internal platforms Maintain consistency and quality across the ecosystem as new sources come online. Data quality & validation Build automated checks to monitor accuracy, completeness ...

manage a wide range of data sources within Snowflake, including: Adalyser Meta Ads Google Ads HubSpot Aircall Performance tracking data Product imagery + metadata from bespoke internal platforms Maintain consistency and quality across the ecosystem as new sources come online. Data quality & validation Build automated checks to monitor accuracy, completeness ...

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 ...