1 to 25 of 102 DemandTrendPermanent Metadata Jobs in the UK excluding London

roadmaps, and innovation. ETL/ELT & 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 across projects. Industry Insight More ❯

roadmaps, and innovation. ETL/ELT & 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 across projects. Industry Insight More ❯

roadmaps, and innovation. ETL/ELT & 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 across projects. Industry Insight More ❯

Data Strategy Define and lead enterprise wide data strategy Design and maintain a scalable, secure data architecture Deep understanding of Data Governance, Modern data platforms: Cloud Data quality Management, metadata, lineage and data modelling Experience with Data integration, master data management (MDM) and designing scalable data pipelines Data Privacy, regulatory compliance, and security best practises BI Tools Power BI, Tableau More ❯

Data Strategy Define and lead enterprise wide data strategy Design and maintain a scalable, secure data architecture Deep understanding of Data Governance, Modern data platforms: Cloud Data quality Management, metadata, lineage and data modelling Experience with Data integration, master data management (MDM) and designing scalable data pipelines Data Privacy, regulatory compliance, and security best practises BI Tools Power BI, Tableau More ❯

Data Strategy Define and lead enterprise wide data strategy Design and maintain a scalable, secure data architecture Deep understanding of Data Governance, Modern data platforms: Cloud Data quality Management, metadata, lineage and data modelling Experience with Data integration, master data management (MDM) and designing scalable data pipelines Data Privacy, regulatory compliance, and security best practises BI Tools Power BI, Tableau More ❯

organisational skills and attention to detail. Preferred Qualifications Microsoft Azure Data Engineer certification. Experience with Azure Synapse Analytics and Power BI. Familiarity with data governance, data quality frameworks, and metadata management. Key Behaviours & Competencies Personal Drive – Resilient and committed to achieving goals through persistent effort. Innovation – Generates new ideas and solutions through original thinking. Results Focus – Aligns team efforts with More ❯

organisational skills and attention to detail. Preferred Qualifications Microsoft Azure Data Engineer certification. Experience with Azure Synapse Analytics and Power BI. Familiarity with data governance, data quality frameworks, and metadata management. Key Behaviours & Competencies Personal Drive - Resilient and committed to achieving goals through persistent effort. Innovation - Generates new ideas and solutions through original thinking. Results Focus - Aligns team efforts with 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 ❯

Experience with pair programming, conducting code reviews, and mentoring team members. Proven ability to reconcile data across systems and ensure data quality and integrity. Experience with data cataloging and metadata management using tools like AWS Glue Data Catalog. Demonstrated self-sufficiency in exploring new tools, troubleshooting issues, and continuously improving processes. Hands-on experience with Apache Airflow for orchestrating complex More ❯

Experience with pair programming, conducting code reviews, and mentoring team members. Proven ability to reconcile data across systems and ensure data quality and integrity. Experience with data cataloging and metadata management using tools like AWS Glue Data Catalog. Demonstrated self-sufficiency in exploring new tools, troubleshooting issues, and continuously improving processes. Hands-on experience with Apache Airflow for orchestrating complex More ❯

Experience with pair programming, conducting code reviews, and mentoring team members. Proven ability to reconcile data across systems and ensure data quality and integrity. Experience with data cataloging and metadata management using tools like AWS Glue Data Catalog. Demonstrated self-sufficiency in exploring new tools, troubleshooting issues, and continuously improving processes. Hands-on experience with Apache Airflow for orchestrating complex 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 More ❯

transactional, analytical, and operational systems Architect solutions for data lakes, warehouses, and master data management (MDM) Establish reference architecture for data ingestion, transformation, storage, and consumption Champion data quality, metadata, and governance standards (including GDPR compliance) Provide architectural oversight on multi-cloud and hybrid environments Collaborate with stakeholders to enable data-driven decision-making and new revenue streams Skills & Experience 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 ❯

Administer Microsoft Fabric Lakehouse and Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation rules Document pipeline logic and contribute to business-wide metadata catalogues Collaborate with BI, Change, and Product teams to align data outputs to needs Support groundwork for future data science and machine learning initiatives The successful applicant will be proficient 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 ❯

and SQL across platforms like Snowflake, real-time systems, or similar Strong exposure to AWS (Lambda, S3, EKS, SNS, API Gateway) Understanding of real-time and analytical data pipelines, metadata, and cataloguing (e.g., Atlan) Strong communication, stakeholder management, and documentation skills Preferred (but not essential): AWS or Snowflake certifications Knowledge of Apache Airflow, DBT, GitHub Actions Experience with Iceberg tables More ❯

and budgeting processes with evidence based models. Ensure all data handling complies with GDPR, SRA regulations and internal policies. Support data governance initiatives, including data quality and audits and metadata management. Profile Proven experience as a data analyst or business intelligence analyst ideally within a professional services environment. Proficient in Power BI, Excel (pivot tables, Power Query, etc.), and SQL. More ❯

into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR and internal policies. What More ❯

into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR and internal policies. What More ❯

into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR and internal policies. What More ❯

Digital Licensing Partners. Oversee the ICE Copyright database to accurately reflect our catalogue. Liaise with ICE Copyright and SMP departments to promptly implement necessary changes. Facilitate internal communication of metadata and streaming activity relating to new signings to guarantee timely delivery and subsequent registration of the full schedule of compositions. Maintain strong relationships with affiliate A&R and admin teams More ❯