1 to 25 of 199 Metadata Jobs in the UK

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 ...

strategies (heterogeneous migrations where applicable) Optimize performance of source and target systems pre- and post-migration Manage and govern S3-based data lakes and metadata using Glue Data Catalog Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization Implement monitoring, rollback, and failure recovery mechanisms Ensure adherence ...

heterogeneous migrations where applicable). Optimize performance of source and target systems pre- and post-migration. Manage and govern S3-based data lakes and metadata using Glue Data Catalog. Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization. Implement monitoring, rollback, and failure recovery mechanisms. Ensure adherence ...

Desirable Criteria Experience delivering data pipelines on Hortonworks/Cloudera on-prem and leading cloud migration initiatives. Familiarity with Apache Airflow, data modelling, and metadata management Experience influencing enterprise data strategy and contributing to architectural governance. To apply for this position please submit your CV. ...

Design and maintain robust data models and data architecture structures. Ensure efficient data flow, integration, and accessibility across platforms. Develop and maintain data dictionaries, metadata frameworks, and governance models. Support compliance with data quality, security, and regulatory requirements. Oversee storage, archiving, and lifecycle management of data assets. Collaborate with technical ...

with governance policies and regulatory standards Collaborate with enterprise architects, DBAs and infrastructure teams to optimize data performance security Develop and maintain data lineage, metadata and architecture documentation Support reporting and analytics initiatives by ensuring data availability and consistency across systems Assist in designing data integration using tools such ...

data warehousing & data sharing, Iceberg, ) Strong understanding of: Data architecture patterns, industry benchmarking, Data integration patterns (ETL/ELT, streaming, CDC, APIs) Data governance & metadata management Architecture Proven experience in data integration, platform consolidation, or carve-outs Experience designing multi-cloud or hybrid data architectures Familiarity with enterprise architecture frameworks ...

Warehouses, Fabric Notebooks and Data Pipelines and Direct Lake semantic models Strong Python and PySpark development capability Solid SQL skills for warehouse development and metadata layers Proven ownership of production data systems end-to-end Wider Azure data platform experience (e.g. Synapse, Databricks) CI/CD pipelines within Azure ...

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 ...

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 ...

Snowflake) Ability to communicate technical concepts clearly to non-technical stakeholders Desirable: Experience with data visualisation tools (e.g. Power BI, Tableau) Familiarity with metadata management and governance tools (e.g. Purview, Collibra, Informatica) Exposure to AI/ML use cases in analytics Background in financial services or other regulated industries What ...

frameworks (batch/streaming) using ADF, Databricks or Fabric pipelines. •Strong programming skills in PySpark, SQL, Python. •Experience implementing medallion architecture, delta lakes, and metadata‐driven pipelines. •Hands-on experience with DQ frameworks, validation rules and reconciliation logic. •Ability to integrate Azure/Fabric datasets with Power BI semantic models ...

Governance: Produce clear documentation describing pipeline behaviour, data flows, dependencies, and operational expectations. Maintain structured coding practices, version control discipline, and consistent naming/metadata standards. Contribute to internal templates, reusable components, and acceleration assets. Practice Support & Collaboration: Work closely with peers and senior engineers to adopt best-practice engineering ...

data storage and compute services Data Mesh & Domain Ownership Support domain-oriented data product development in partnership with business teams Promote standards for naming, metadata, documentation, and discoverability Enable decentralised data ownership while maintaining consistency Experience Proven experience as a Data Engineer in a modern cloud data environment Strong ...

profiling and validation Understanding of Agile delivery frameworks Nice to Have Experience with Databricks, Snowflake or modern data platforms Knowledge of data modelling and metadata management Experience in regulated industries such as banking Familiarity with CI/CD and DevOps practices ...

Integrator (ODI) Oracle Fusion Data Intelligence (FDI) Governance & Data Quality Ensure data quality, integrity, and compliance with governance frameworks Define and maintain: Data lineage Metadata Architecture documentation Align with regulatory standards (e.g. GDPR, SOX) Collaboration & Delivery Work closely with: Functional teams Enterprise architects DBAs and infrastructure teams Support reporting ...

between business stakeholders, analytics teams, and engineering - translating commercial requirements into robust, well-reasoned architectural designs. Set the standard for data governance, data quality, metadata management, and master data management - and hold the organisation to it. Ensure all data practices meet security, privacy, and regulatory obligations, proactively identifying and mitigating ...

customers—whether next-generation innovations or custom-tailored adaptations. Take ownership of the full problem space, spanning data storage and pipelines through to APIs, metadata, and UIs Improve and extend existing products with new features, cost optimizations, and reliability enhancements, while addressing technical debt and ensuring alignment with the broader ...

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 What you’ll do Design and implement scalable Azure-based data solutions Build and optimise data pipelines for integration and transformation Develop Power ...

data engineering solutions on Databricks (Spark/Delta Lake) using Python and SQL. Build data products aligned to data mesh principles: clear contracts, documentation, metadata, lineage, access controls, and measurable SLAs/SLOs. Develop and optimize batch and streaming pipelines with strong data quality checks and observability. Implement curated data ...

data engineering solutions on Databricks (Spark/Delta Lake) using Python and SQL. Build data products aligned to data mesh principles: clear contracts, documentation, metadata, lineage, access controls, and measurable SLAs/SLOs. Develop and optimize batch and streaming pipelines with strong data quality checks and observability. Implement curated data ...

reporting on progress of data governance, data quality controls and data quality issues to Data Steerco, and risk committees. Lead and define establishment of metadata management, involving data documentation (data structure, definitions, lineage, reports etc.), to create a data catalogue that provides all colleagues with a complete understanding and trust ...

Support the implementation and governance of Databricks Unity Catalog, aligning technical controls with organisational data governance objectives Analyse data platforms and pipelines to assess metadata coverage, lineage, data quality signals, and policy enforcement Collaborate closely with business and technical stakeholders to ensure governance and data quality are practical, usable ...

against current needs Translate business questions and operational needs into meaningful KPIs, metrics, dashboards, and analytical narratives consumable by non-technical stakeholders. Create clear metadata and documentation that explains datasets, transformations, assumptions, and analytical outputs to support reuse and trust Partner closely with Data Scientists and Visualisation specialists to enable ...