1 to 25 of 74 Metadata Jobs in the South East

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively to both More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively to both More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively to both More ❯

Lead the design and implementation of 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. Mentor junior team members More ❯

Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or legal environments is More ❯

Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or legal environments is More ❯

Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or legal environments is 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 ❯

Lambda, Kinesis, Athena, Lake Formation. Strong hands-on experience with Snowflake - architecture, performance tuning, security, and data sharing features. Proficient in data modelling, data integration (ETL/ELT), and metadata management. Deep understanding of data governance, data security, and compliance in cloud environments. Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) is a plus. Strong communication and stakeholder management More ❯

technical decisions with business goals. Preferred Qualifications: Experience with data product thinking or data mesh principles. Background in product architecture or enterprise architecture. Knowledge of data cataloging, lineage, and metadata management tools (e.g., Collibra, Alation, Amundsen). Familiarity with DevOps and DataOps practices, including CI/CD, version control, and infrastructure as code (e.g., Terraform). Understanding of regulatory frameworks More ❯

technical decisions with business goals. Preferred Qualifications: Experience with data product thinking or data mesh principles. Background in product architecture or enterprise architecture. Knowledge of data cataloging, lineage, and metadata management tools (e.g., Collibra, Alation, Amundsen). Familiarity with DevOps and DataOps practices, including CI/CD, version control, and infrastructure as code (e.g., Terraform). Understanding of regulatory frameworks 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 ❯

of Work basis, ideally we would prefer candidates with experience working to those arrangements. Essential skills: AWS Data Engineering Snowflake Databricks Responsibilities: Develop and manage data models, schemas, and metadata to support analytics and reporting needs. Collaborate with Data Analysts, Scientists, and Business Analysts to ensure data availability and usability. Implement data quality checks, validation routines, and monitoring to ensure More ❯

integration patterns, ETL/ELT processes, and data pipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java) 6 Month Contract More ❯

the integrity, availability, and security of company data. What You'll Bring Extensive experience in data architecture and modelling (3NF, Kimball, Data Vault). Deep understanding of database design, metadata-driven pipelines, and data integration. Proven experience with Azure Data Services-including Databricks, Data Factory, Azure SQL, and CosmosDB. Expertise in data warehousing, data lakes, and lakehouse architectures. Strong knowledge More ❯

to at least 3NF Strong knowledge of database structure systems and data mining Proficient in Kimball methodology and Data Vaults Deep understanding of database fundamentals and experience in designing metadata-driven ingestion and transformation pipelines. Experienced in Master Data Management (MDM), data cataloguing, and managing data lineage Familiarity with accelerators and extensive knowledge of Azure Cloud Services including DataBricks, Azure More ❯

enterprise data architecture, strategy, and implementation. Strong expertise in cloud technologies (AWS, Azure, GCP) with relevant certifications highly desirable. In-depth knowledge of data modeling, data lake design, and metadata management tools. Proven ability to design secure, scalable, and cost-effective data solutions in cloud ecosystems. Experience in the financial services sector, with a track record of success in complex More ❯

user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including More ❯

user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including More ❯

user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including 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 ❯

/LODs, and voxel/point-cloud conversions. Implement labeling and QA workflows, manage external annotation vendors, and automate quality checks to ensure scalable, reliable datasets. Define schemas and metadata for digital assets, maintaining catalogues, lineage, and versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP More ❯

/LODs, and voxel/point-cloud conversions. Implement labeling and QA workflows, manage external annotation vendors, and automate quality checks to ensure scalable, reliable datasets. Define schemas and metadata for digital assets, maintaining catalogues, lineage, and versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP More ❯

/LODs, and voxel/point-cloud conversions. Implement labeling and QA workflows, manage external annotation vendors, and automate quality checks to ensure scalable, reliable datasets. Define schemas and metadata for digital assets, maintaining catalogues, lineage, and versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP 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 ❯