1 to 25 of 212 Permanent Metadata Jobs

Microsoft Azure, GCP or AWS. Skills Exceptional analytical and problem‐solving skills. Data Modelling (Conceptual, Logical, Physical), Data Warehousing, Data Lakes, Data Mesh, Governance, Metadata Management, Master Data Management. Leading the lifecycle of production‐grade data products from modelling to deployment and optimisation. Familiarity with the DAMA Data Management Framework ...

platforms, balancing performance, scalability, resilience, and cost Strong understanding of data governance, data management frameworks, and best practices such as data quality, lineage, and metadata Advanced SQL skills and experience working directly with source data Broad knowledge of data engineering principles and modern data architectures such as lakehouse, data mesh ...

data architecture or related fields. Deep understanding of Information Security, alongside privacy and compliance regulations. Proven experience in enterprise-scale data modelling. Expertise in metadata management. Excellent analytical, planning, organisational and technical skills along with excellent written and verbal communication skills. Experience in translating complex technological requirements to an audience ...

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 ...

semi-structured datasets , transforming raw information into actionable insights. Data Workflow Development : Expertise in developing and maintaining data transformation processes , managing data structures, metadata, workload dependencies, and orchestration frameworks. Large-scale Data Processing : A demonstrated history of manipulating, processing, and extracting value from large, diverse, and disconnected datasets in fast ...

with cloud data platforms (AWS data services, Azure data services) including cost management and optimisation Knowledge of data quality frameworks, data governance practices, and metadata management Understanding of data pipeline architecture, ETL/ELT patterns, and data modelling principles Familiarity with infrastructure as code (Terraform) and CI/ ...

deployment and industrialisation • Cloud-native data platform build and transformation across Azure, AWS, and GCP, including architecture, migration, and optimisation • Data governance, data quality, metadata management, and enterprise data architecture for scalable, compliant data ecosystems • Regulatory change, remediation, and operational transformation, including risk, controls, reporting, and audit readiness ...

Strong stakeholder management and communication skills. Desirable Experience Banking or financial services experience. Experience within highly regulated environments. Knowledge of Master Data Management (MDM), metadata management and data governance frameworks. Experience with orchestration tools such as Azure Data Factory or Airflow. Azure and/or Databricks certifications. What ...

health, optimise performance, and manage infrastructure costs to ensure efficient scaling. AI Enablement Make Data AI-Ready: Apply strong data modelling, semantic consistency and metadata discipline so data is discoverable and usable by both humans and AI tools. Partner with the AI Team: Work closely with function specific AI engineers ...

role. You’ll also need to have experience with the adoption and implementation of enterprise data catalogues to improve data discoverability, lineage visibility, and metadata management, supporting a culture of data‐driven decision‐making. In addition, you’ll need to demonstrate expertise in designing and overseeing complex architectural patterns using ...

methodologies including requirements and discovery, Agile delivery, testing, deployment, and post-production support Strong understanding of data governance and security frameworks including data quality, metadata management, lineage, user and permission management, compliance, and access controls Excellent documentation skills with the ability to create and maintain solution designs, data dictionaries, business ...

assessments, and business cases for proposed solutions. Skills Required Essential: Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. Experience in establishing data analytics and supporting AI solutions. Data quality/validation experience: designing metrics ...

assessments, and business cases for proposed solutions. Skills Required Essential: Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. Experience in establishing data analytics and supporting AI solutions. Data quality/validation experience: designing metrics ...

assessments, and business cases for proposed solutions. Skills Required Essential: Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. Experience in establishing data analytics and supporting AI solutions. Data quality/validation experience: designing metrics ...

open table formats (Apache Iceberg, Delta Lake), data observability tools, and real-time/streaming architecturesExperience with data governance frameworks, data quality tools, metadata management, and ensuring compliance with security and regulatory requirementsPersonal AttributesStrong business acumen with ability to translate business requirements into technical architecture and understand how data enables ...

Studio or AWS Glue. Advanced data modelling, transformation and querying skills using languages such as SQL and Python. Experience delivering data quality, metadata management and governance solutions using tools such as Microsoft Purview, Collibra Data Catalog, Informatica IDQ or Talend Data Quality. A strong track record of leading technical teams ...

workloads. Oversee data ingestion, transformation, orchestration, and real-time processing. Establish best practices for performance, security, and cost optimization. Manage data governance, metadata, lineage, and compliance. Support AI/Machine Learning initiatives and collaborate with data science teams. Translate business needs into technical solutions and lead architectural reviews. Mentor team ...

governance standards covering cataloguing, lineage, quality, access control, and PII. Lakehouse architecture Define the Lakehouse target architecture: storage, table format, query engine, ingestion, metadata, and the standards that govern it. Set the patterns for multi‐tenant isolation, row‐and‐column‐level security, and PII handling. Define the streaming and batch ...

considered • US Citizenship Preferred Requirements • Familiarity with Advana architecture, Palantir Foundry, or similar data integration platforms • Experience with data governance frameworks and metadata management • Agile/SAFe delivery experience in secure environments Physical Requirements May require working in an office, industrial, shipboard, or laboratory environment. Capable of climbing ladders ...

Junior Data Engineer and Analyst on modern engineering standards and secure coding practices; - Work with the Software Engineering Manager to establish naming conventions, metadata standards, and data residency/sovereignty protocols. Stakeholder Engagement & Continuous Improvement - Constructively challenge stakeholders and teams where necessary on scope and delivery to ensure deliverables remain ...

Lead the design of conceptual, logical, and physical data models Support batch, streaming, and real-time data processing capabilities Drive best practice across governance, metadata, lineage, and data quality Optimise platform performance, scalability, reliability, and cost Collaborate closely with engineering, analytics, architecture, and data science teams Provide technical leadership ...

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 ...

record of designing and governing large‐scale data and integration solutions across analytics and operational systems. Deep understanding of data governance, including data quality, metadata management, stewardship, and architectural assurance. Experience designing API‐led and event‐driven integration architectures. Practical experience architecting AI‐enabled data solutions, with an understanding ...

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

data architectures, covering ingestion, modelling, integration, governance and data serving across cloud platforms Shaping architecture strategies including data modelling standards, lineage, data quality, metadata and master data management Supporting and leading architectural discovery, defining data workstreams and delivery approaches across Azure, AWS, GCP and Snowflake Working within cross-functional teams ...