101 to 125 of 371 Metadata Jobs

succeed You'll bring extensive experience in data engineering within Azure environments, with a strong track record in modernisation and large-scale migration projects. You'll be confident designing metadata-driven frameworks and managing Databricks environments, with hands-on expertise in Python, T-SQL, and PySpark. Your leadership and mentoring skills will be key, alongside your ability to collaborate across More ❯

Microsoft Fabric, Data Factory, OneLake, Dataflows, and Notebooks. Creating robust data models to support analytics and reporting functions. Integrating and transforming data from cloud and on-premise sources using metadata-driven processes. Developing secure, governed multi-tenant data environments with row- and tenant-level access controls. Ensuring data quality, consistency, and compliance across the stack, aligned with industry standards like More ❯

to detect anomalies and ensure data protection. Database Hygiene & Maintenance: Maintain clean and organized schemas, tables, and views across environments. Implement automated routines for purging obsolete data, archiving, and metadata management. Ensure consistency and reliability of data pipelines and integrations with Snowflake. Collaboration & Leadership: Work closely with data engineers, analysts, and business stakeholders to support data initiatives. Provide guidance and More ❯

robust processes to streamline data flow by developing data warehouse process models, including sourcing, loading, transformation, and extraction, to support data integration pipelines. Create and manage supporting documentation, including metadata, diagrams of entity relationships, business processes, and process flows, for governance and reference. Ensure proper integration of data with existing standards and business processes to support smooth operations, maintaining consistency More ❯

technical leadership and guidance to cross-functional teams, ensuring best practices in data architecture, security and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large-scale, high-throughput data Ensure all data solutions comply with industry standards More ❯

experience in business and data analysis, including interrogation of databases • Proficiency in T-SQL and working knowledge of SQL Server Management Studio • Experience with data governance, data quality, and metadata documentation • Understanding of relational databases, ETL/ELT processes, and APIs • Familiarity with GDPR and data protection regulations • A degree in a STEM subject or equivalent, plus relevant professional certifications More ❯

Services). Implement and manage CI/CD pipelines for Salesforce deployments (Salesforce DX) and coordinate production rollouts with IT and business stakeholders. Maintain org configuration, sandbox refreshes, and metadata management. Partner with architects and data teams to enforce platform best practices and coding standards. Integrate third-party applications and maintain technical documentation (network diagrams, installation/configuration procedures, troubleshooting More ❯

design * Experience with cloud data platforms with Microsoft Fabric as the preferred option * Experience with modern data warehousing * Strong data modelling skills across relational and NoSQL * Experience with governance, metadata, master data and integration including ETL ELT and API based approaches NO SPONSORSHIP can be offered for this role. if that sounds of interest to you then please apply, or More ❯

design * Experience with cloud data platforms with Microsoft Fabric as the preferred option * Experience with modern data warehousing * Strong data modelling skills across relational and NoSQL * Experience with governance, metadata, master data and integration including ETL ELT and API based approaches NO SPONSORSHIP can be offered for this role. if that sounds of interest to you then please apply, or More ❯

Job Description: Data Engineer (with Tableau Specialism) Responsibilities: * Design, develop, and manage data models, schemas, and metadata to support advanced analytics and reporting requirements. * Work closely with Data Analysts, Data Scientists, and Business Analysts to ensure data availability, accessibility, and usability across the organisation. * Implement data quality checks, validation routines, and monitoring processes to maintain data integrity and reliability. * Optimise More ❯

Familiarity with database concepts and data modeling Experience working in entertainment, media, or creative industries Understanding of digital music platforms, streaming services, or music production workflows Knowledge of music metadata standards and digital asset management Technical Skills Requirements management tools (Jira, Confluence) Microsoft Office Suite (Excel, Word, PowerPoint, Visio) Process modeling and documentation tools Basic understanding of databases and SQL More ❯

work, and support and comply with all organisational initiatives, policies and procedures on EDI. Skills: Communication skills (data). Data communication. Data governance. Data innovation. Data modelling. Data standards. Metadata management. Problem resolution (data). Strategic thinking (data architecture). Knowledge of agile methods and their implications for Data Architecture. Knowledge of strategic and emerging technology trends, and their practical More ❯

Strong background in Business and Data Analysis , working with large datasets to identify trends, issues, and improvement opportunities Good understanding of data governance and control frameworks , including data lineage, metadata, and quality management Experience supporting functional testing (UAT/data validation) and preparing test scenarios and evidence Familiarity with data management principles across regulatory or risk environments Competent with SQL More ❯

and reconciliation. Strong communication and collaboration abilities across technical and business teams. Desirable: Exposure to Python or other scripting languages for data manipulation. Knowledge of data governance frameworks and metadata management. Experience working with recruitment, CRM or ATS data. What's on Offer A genuine opportunity to contribute to a transformative data excellence programme. A collaborative environment that values curiosity More ❯

and reconciliation. Strong communication and collaboration abilities across technical and business teams. Desirable: Exposure to Python or other scripting languages for data manipulation. Knowledge of data governance frameworks and metadata management. Experience working with recruitment, CRM or ATS data. What's on Offer A genuine opportunity to contribute to a transformative data excellence programme. A collaborative environment that values curiosity More ❯

ensure alignment with organizational goals. Design and optimize data models and workflows to enhance performance and reliability of data pipelines. Implement best practices for data governance, data quality, and metadata management to ensure the integrity and usability of data assets. Lead code reviews and provide mentorship to junior developers, fostering a culture of continuous improvement and technical excellence. Utilize your More ❯

and analytics. Define and implement data operating models, target architectures, and transformation roadmaps. Establish data governance frameworks (e.g., DAMA, DCAM) and define stewardship roles and KPIs. Support deployment of metadata management, data lineage, and cataloging tools across platforms. Your Profile: 15+ years of experience in data advisory, data strategy, or data management roles. 8-10 years of experience working within More ❯

and analytics. Define and implement data operating models, target architectures, and transformation roadmaps. Establish data governance frameworks (e.g., DAMA, DCAM) and define stewardship roles and KPIs. Support deployment of metadata management, data lineage, and cataloging tools across platforms. Your Profile: 15+ years of experience in data advisory, data strategy, or data management roles. 8-10 years of experience working within More ❯

in a collaborative, forward-thinking environment. Your new role Define and implement the data engineering strategy aligned with business and technology goals. Lead development of data ingestion, quality, and metadata pipelines powering SAM's supervisory tools. Deliver scalable, secure, and production-ready data platforms using Azure and Databricks. Collaborate across Technology and DAT to integrate SAM solutions into the organisations More ❯

reference architecture into solution design across domains (Commercial, Supply Chain, Enabling Functions). Partner with domain architects, integration, and cybersecurity teams to ensure alignment of data flows, controls, and metadata management. Support the Architecture Review Board (ARB) and data governance forums with clear, structured design artefacts. Governance & Standards Define and maintain solution patterns for data ingestion, transformation, analytics, and sharing. … Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data integration, metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming, ETL/ More ❯

reference architecture into solution design across domains (Commercial, Supply Chain, Enabling Functions). Partner with domain architects, integration, and cybersecurity teams to ensure alignment of data flows, controls, and metadata management. Support the Architecture Review Board (ARB) and data governance forums with clear, structured design artefacts. Governance & Standards Define and maintain solution patterns for data ingestion, transformation, analytics, and sharing. … Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data integration, metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming, ETL/ More ❯

reference architecture into solution design across domains (Commercial, Supply Chain, Enabling Functions). Partner with domain architects, integration, and cybersecurity teams to ensure alignment of data flows, controls, and metadata management. Support the Architecture Review Board (ARB) and data governance forums with clear, structured design artefacts. Governance & Standards Define and maintain solution patterns for data ingestion, transformation, analytics, and sharing. … Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data integration, metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming, ETL/ More ❯

reporting & dashboards. Primary Job Duties: Assist in managing Enterprise customer databases for lines of business users, collaborate with IT to direct the creation & implementation of new databases, data marts, metadata and data hierarchies for data warehouse, and analysis applications. Create line of business reports & dashboards using tool such as Business Objects and PowerBI. Design and maintain Business Objects universes to More ❯

Purview) What You’ll Do Lead the greenfield implementation of Purview and support migration to Microsoft Fabric . Develop and deliver a Data Management roadmap , introducing capabilities such as Metadata Management, Data Lineage, Business Glossaries, and Data Dictionaries. Champion Data Ownership and Stewardship communities and drive a Data Literacy programme . Collaborate with IT, compliance, and business teams to ensure More ❯

tools (e.g. Selenium, pytest, or custom frameworks for data testing) Knowledge of version control systems (Git, Bitbucket) and CI/CD pipelines for automated testing Understanding of data governance , metadata management , and data lineage concepts Analytical & Professional Skills High attention to detail with a structured approach to identifying data anomalies Strong analytical and problem-solving mindset for complex data ecosystems More ❯