1 to 25 of 259 Metadata Jobs in the UK

Cloud tools such as BigQuery, Dataflow, Dataproc, Pub/Sub, Composer and Dataplex, or comparable services within Azure or AWS.Strong knowledge of SQL, databases, metadata management and data governance.Experience working with CI/CD toolsets, Kubernetes, release management, automated testing and cloud deployments.Knowledge of test-driven or behaviour-driven development ...

Familiarity with Agile delivery and DevOps practices (Azure DevOps, JIRA, etc.). Preferred Skills & Experience: Knowledge of EDM (Enterprise Data Management) practices, data governance, metadata management, and lineage tools. Exposure to multi-cloud environments ( AWS or GCP ). Understanding of modern data architecture philosophies (Dimensional, ODS, Data Vault) and real ...

Familiarity with Agile delivery and DevOps practices (Azure DevOps, JIRA, etc.). Preferred Skills & Experience: Knowledge of EDM (Enterprise Data Management) practices, data governance, metadata management and lineage tools. Exposure to multi-cloud environments ( AWS or GCP ). Understanding of modern data architecture methodologies (Dimensional, ODS, Data Vault) and real ...

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 ...

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 ...

Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake. Data Management, Governance & Controls: Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity with governance and compliance tooling such as Microsoft Purview, Profisee, Informatica and Collibra. Data ...

technical direction. Collaborate with stakeholders across business, product, and IT to gain buy-in and drive data-driven decisions. Define data models, data flows, metadata standards, and integration patterns. Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale. Ensure data security, privacy, compliance, and risk ...

Spark for data processing and distributed computing.Understanding of data warehousing concepts, dimensional modelling and ETL/ELT frameworks.Knowledge of data quality, data governance, metadata management and data security principles.Experience with CI/CD pipelines using Azure DevOps or GitHub, along with an understanding of cloud architecture.A bachelor's degree ...

Azure SQL/SQL Server to process and manage large datasets. Design and implement data models using Kimball, 3NF and dimensional modelling approaches. Develop metadata-driven pipelines to improve automation and efficiency. Work closely with technical teams and clients to understand data requirements and deliver effective solutions. Maintain high standards ...

Microsoft Fabric Azure Synapse Enterprise Data Platforms Strong dimensional data modelling experience. Experience designing secure and governed analytics solutions. Knowledge of data governance, lineage, metadata, and data quality principles. Experience implementing CI/CD and source control practices for Power BI solutions. Strong stakeholder management and communication skills. Experience delivering ...

performance, scalability and cost Supporting batch, streaming and real-time data processing, including high-volume transactional data Embedding best practice across governance, lineage, metadata and data quality Driving automation through CI/CD and Infrastructure as Code Working closely with engineering, analytics and data science teams as the trusted data ...

legacy platforms such as Oracle, SQL Server/SSIS or Synapse. Power BI semantic models, curated datasets and supporting analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation, reconciliation testing and performance optimisation. DataOps, CI/CD and version control ...

datasets, including 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 solutions ...

scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence-related datasets Experience working within Defence, National Security, Government or other ...

analysis and requirements gathering . Hands-on experience with Data Quality and Data Governance frameworks . Experience with data quality rules, data lineage and metadata management . Strong SQL skills for data analysis, validation and reporting. Experience with tools such as Collibra, Solidatus or Microsoft Purview . Understanding of financial ...

beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures Expopsure to data governance frameworks, metadata management, and regulatory complianc It would be a bonus if you have: Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, real-time/ ...

beneficialA good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architecturesExpopsure to data governance frameworks, metadata management, and regulatory compliancIt would be a bonus if you have:Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, real-time/streaming architectures ...

high standards of quality, governance and security. Desirable experience Regulated environment. PySpark for large-scale data transformations. Migrating legacy data estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language ...

efficient, well-governed data models. Your leadership will be key in identifying gaps, driving improvements, and implementing best practices in dimensional modelling, normalization, and metadata management.As a lead, you will contribute to architecture reviews, mentor junior data modelers, and support data governance initiatives. You will also play a role ...

documenting data lineage, data flows, and system relationships. Knowledge of data quality frameworks, controls, and monitoring techniques. Experience developing and maintaining data dictionaries and metadata repositories. Strong SQL and data analysis skills. Experience working with data warehouses, ETL/ELT processes, and cloud-based data platforms. Excellent stakeholder management ...

guidance and mentoring. Experience Required Data Architecture: Strong experience in data modelling, transformation, migration, and analytics/AI solutions, with knowledge of data quality, metadata, and modern platforms. Cloud & Technology: Hands-on experience with AWS and/or Azure data services, plus knowledge of distributed systems, integration, microservices, and containerisation ...

Python data pipelines• ETL across operational and analytical layers• AWS, Azure and GCP• Git and CI/CD• Data quality, lineage and metadata• Monitoring and production reliability• Bringing AI/ML outputs into productionWhat they're looking forAround 1+ years' experience in Data Engineering or a Platform role, with strong ...

Deep expertise with the Databricks ecosystem, including Delta Lake, Unity Catalog, Spark, MLflow, Databricks SQL and Lakehouse architecture. Strong understanding of data governance, security, metadata management and regulatory compliance. Experience delivering machine learning, Generative AI and Agentic AI solutions in production environments. Expertise across Azure, AWS, or GCP cloud platforms. ...

scalability Experience supporting operational, analytical or historical reporting workloads Understanding of cloud-native data technologies, data orchestration and ETL processes Awareness of data governance, metadata management, data quality, data lineage and the responsible use of AI-assisted tooling Positive and collaborative approach, with the ability to remain calm, adaptable ...

scalability Experience supporting operational, analytical or historical reporting workloads Understanding of cloud-native data technologies, data orchestration and ETL processes Awareness of data governance, metadata management, data quality, data lineage and the responsible use of AI-assisted tooling Positive and collaborative approach, with the ability to remain calm, adaptable ...