226 to 250 of 294 Metadata Management Jobs

data structures. Desirable: Experience working in a cloud-based or hybrid data environment. Background in regulated sectors or large-scale enterprise data integration. Familiarity with data governance frameworks and metadata management. More ❯

for visa sponsorship. Applicants must have the legal right to work in the UK. The personWe're looking for someone with expertise in Business Intelligence platforms, data modelling, and metadata management. You will be familiar with pension administration systems and integration across platforms and have a deep understanding of financial services data structures and compliance. You will have past More ❯

Data Platform Operations : Managing production ETL/ELT pipelines and data orchestration frameworks. Ensuring data platform security, compliance, and access controls. Implementing and governing data quality, lineage, observability, and metadata management. Ensuring the sustainability and scalability of our data infrastructure and that it enables the company to achieve its business objectives Data Platform Optimization: Ensuring that the team is More ❯

We're seeking a Data Engineer to support data management initiatives. This role involves building robust data pipelines, integrating market and trade data, and ensuring high-quality data delivery for trading, risk, and compliance functions. Key Responsibilities Design and implement scalable data pipelines for market, reference, and transactional data. Develop ETL processes to ingest data from trading platforms, market … and data modeling. Experience with capital markets data (e.g., equities, fixed income, derivatives Hands-on experience with cloud platforms (AWS, Azure, or GCP Knowledge of data governance frameworks and metadata management. Experience with Kafka, Spark, Airflow, or similar tools for data orchestration. Qualifications Bachelor's or Masters degree in Computer Science, Finance, or related field. 5 to 7 years More ❯

navigate through complex systems landscapes Desirable Skills Experience with CDM frameworks or canonical data models. Knowledge of regulatory reporting requirements in UK banking Experience with data catalogue tools and metadata management Product specific knowledge across lending, deposits, or treasury More ❯

navigate through complex systems landscapes Desirable Skills Experience with CDM frameworks or canonical data models. Knowledge of regulatory reporting requirements in UK banking Experience with data catalogue tools and metadata management Product specific knowledge across lending, deposits, or treasury More ❯

navigate through complex systems landscapes Desirable Skills Experience with CDM frameworks or canonical data models. Knowledge of regulatory reporting requirements in UK banking Experience with data catalogue tools and metadata management Product specific knowledge across lending, deposits, or treasury More ❯

navigate through complex systems landscapes Desirable Skills Experience with CDM frameworks or canonical data models. Knowledge of regulatory reporting requirements in UK banking Experience with data catalogue tools and metadata management Product specific knowledge across lending, deposits, or treasury More ❯

navigate through complex systems landscapes Desirable Skills Experience with CDM frameworks or canonical data models. Knowledge of regulatory reporting requirements in UK banking Experience with data catalogue tools and metadata management Product specific knowledge across lending, deposits, or treasury More ❯

Responsibilities Design and build data products, with proficiency throughout the data lifecycle. Develop robust data models through close collaboration with business users and the engineering team. Partner with senior management, operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks. Accountable for data extraction, transforming JSON & XML, utlising high experience within … metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers. To work independently and to manage multiple data tasks in a fast-paced More ❯

Responsibilities Design and build data products, with proficiency throughout the data lifecycle. Develop robust data models through close collaboration with business users and the engineering team. Partner with senior management, operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks. Accountable for data extraction, transforming JSON & XML, utlising high experience within … metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers. To work independently and to manage multiple data tasks in a fast-paced More ❯

to ensure high data quality.Optimize ETL jobs for performance, scalability, and reliability.Maintain and enhance existing ETL processes and data pipelines.Support data warehousing initiatives, including data modeling, dimensional design, and metadata management.Conduct root cause analysis and resolve issues in data extraction, transformation, and loading.Develop and maintain technical documentation for all ETL processes and workflows.Collaborate with database administrators, data architects, and … experience working on major RDBMS platforms (Oracle, SQL Server, Teradata, Snowflake, etc.Experience with performance tuning and optimization of Informatica mappings and sessions.Strong understanding of data governance, data quality, and metadata management.Familiarity with cloud-based data integration platforms (Informatica Cloud, AWS Glue, Azure Data FactoryExperience in Unix/Linux environments and shell scripting.Excellent problem-solving, analytical, and communication skills. Preferred More ❯

Lead the upgrade, decommissioning, and archiving of data in accordance with data policies. - Collaborate with multidisciplinary teams to translate business problems into effective data solutions. - Maintain data dictionaries and metadata repositories to ensure information remains accurate and compliant. - Provide input into enterprise data governance, standards, and quality assurance processes. - Identify opportunities for innovation through data and emerging technologies. Skills … Experience: - Strong experience in data modelling, metadata management, and data standards. - Proficient in SAS tools, particularly SAS Viya 3.5, SAS RTENG, SAS Studio V, and SAS Enterprise Guide. - Familiarity with Oracle database environments and automated data ingestion practices. - Ability to reverse-engineer data models and conduct source system analysis. - Understanding of HMRC data processes or prior experience in More ❯

Lead the upgrade, decommissioning, and archiving of data in accordance with data policies. - Collaborate with multidisciplinary teams to translate business problems into effective data solutions. - Maintain data dictionaries and metadata repositories to ensure information remains accurate and compliant. - Provide input into enterprise data governance, standards, and quality assurance processes. - Identify opportunities for innovation through data and emerging technologies. Skills … Experience: - Strong experience in data modelling, metadata management, and data standards. - Proficient in SAS tools, particularly SAS Viya 3.5, SAS RTENG, SAS Studio V, and SAS Enterprise Guide. - Familiarity with Oracle database environments and automated data ingestion practices. - Ability to reverse-engineer data models and conduct source system analysis. - Understanding of HMRC data processes or prior experience in More ❯

solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to … complex agile consulting projects supporting our clients with data architecture design and delivery. You will work with technology leaders across Financial Services to provide best practice guidance for data management and data architecture development and optimization. You will build a set of services and capabilities that support Capco's vision of Modern Data Architecture and our clients' data journeys … and Data Lake design. Experience designing and implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding More ❯

clarity. Identify and resolve data quality issues and inconsistencies across large-scale environments. Key Skills: Teradata SQL, BTEQ, Data Mapping, Data Lineage, Data Modeling, Data Analysis, Data Quality, SQL, Metadata Management, Data Governance More ❯

aligning with client objectives in financial services. Build relationships at C-suite level by offering data-driven advisory on strategy, transformation roadmaps, and innovation opportunities. Define data governance frameworks, metadata management, and quality controls using a variety of platforms. Inspire and guide cross-functional global teams, ensuring best practices, knowledge sharing, and innovation are embedded in every engagement. More ❯

to lead the development and delivery of enterprise-wide data governance and architecture initiatives. This is a high-impact role that will shape the organisation's approach to data management, compliance, and innovation. Key Responsibilities: Strategic Framework & Governance Development Design and implement a robust data governance framework, including policies, standards, and procedures. Define data ownership models and appoint data … stewards across key domains. Introduce and manage a metadata catalogue to enhance data discoverability and transparency. Establish clear retention, access, and usage policies for various data types. Governance Leadership Set up and lead a Data Governance Council to oversee governance strategy and execution. Collaborate with data owners, stewards, and custodians across departments to ensure consistency and accountability. Data Quality … best practices. Core Expertise Strong experience in conceptual, logical, and physical data modelling. Proven track record in designing data warehouse and data lake architectures. Solid understanding of Master Data Management (MDM) principles. Integration & Engineering Skilled in developing and managing data pipelines and orchestration workflows. Hands-on experience with ETL/ELT tools and methodologies. Technology Stack Proficient in cloud More ❯

to lead the development and delivery of enterprise-wide data governance and architecture initiatives. This is a high-impact role that will shape the organisation's approach to data management, compliance, and innovation. Key Responsibilities: Strategic Framework & Governance Development Design and implement a robust data governance framework, including policies, standards, and procedures. Define data ownership models and appoint data … stewards across key domains. Introduce and manage a metadata catalogue to enhance data discoverability and transparency. Establish clear retention, access, and usage policies for various data types. Governance Leadership Set up and lead a Data Governance Council to oversee governance strategy and execution. Collaborate with data owners, stewards, and custodians across departments to ensure consistency and accountability. Data Quality … best practices. Core Expertise Strong experience in conceptual, logical, and physical data modelling. Proven track record in designing data warehouse and data lake architectures. Solid understanding of Master Data Management (MDM) principles. Integration & Engineering Skilled in developing and managing data pipelines and orchestration workflows. Hands-on experience with ETL/ELT tools and methodologies. Technology Stack Proficient in cloud More ❯

to support the delivery of data-centric initiatives within the Digital Trading Analytics (dTA) portfolio. This role is ideal for someone with a strong foundation in data analysis, data management, data quality, and stakeholder engagement—particularly in the context of trading, market data, and analytics platforms. You will work closely with data engineers, platform teams, and business users to … non-technical stakeholders. Nice to Have: • Experience in energy or financial trading environments. • Familiarity with cloud-based data platforms (e.g. Databricks, Snowflake). • Knowledge of data governance, lineage, and metadata management. • Exposure to data cataloguing tools and data quality frameworks. More ❯

to support the delivery of data-centric initiatives within the Digital Trading Analytics (dTA) portfolio. This role is ideal for someone with a strong foundation in data analysis, data management, data quality, and stakeholder engagement—particularly in the context of trading, market data, and analytics platforms. You will work closely with data engineers, platform teams, and business users to … non-technical stakeholders. Nice to Have: • Experience in energy or financial trading environments. • Familiarity with cloud-based data platforms (e.g. Databricks, Snowflake). • Knowledge of data governance, lineage, and metadata management. • Exposure to data cataloguing tools and data quality frameworks. More ❯

to support the delivery of data-centric initiatives within the Digital Trading Analytics (dTA) portfolio. This role is ideal for someone with a strong foundation in data analysis, data management, data quality, and stakeholder engagement—particularly in the context of trading, market data, and analytics platforms. You will work closely with data engineers, platform teams, and business users to … non-technical stakeholders. Nice to Have: • Experience in energy or financial trading environments. • Familiarity with cloud-based data platforms (e.g. Databricks, Snowflake). • Knowledge of data governance, lineage, and metadata management. • Exposure to data cataloguing tools and data quality frameworks. More ❯

to support the delivery of data-centric initiatives within the Digital Trading Analytics (dTA) portfolio. This role is ideal for someone with a strong foundation in data analysis, data management, data quality, and stakeholder engagement-particularly in the context of trading, market data, and analytics platforms. You will work closely with data engineers, platform teams, and business users to … non-technical stakeholders. Nice to Have: • Experience in energy or financial trading environments. • Familiarity with cloud-based data platforms (e.g. Databricks, Snowflake). • Knowledge of data governance, lineage, and metadata management. • Exposure to data cataloguing tools and data quality frameworks. More ❯

to support the delivery of data-centric initiatives within the Digital Trading Analytics (dTA) portfolio. This role is ideal for someone with a strong foundation in data analysis, data management, data quality, and stakeholder engagement—particularly in the context of trading, market data, and analytics platforms. You will work closely with data engineers, platform teams, and business users to … non-technical stakeholders. Nice to Have: • Experience in energy or financial trading environments. • Familiarity with cloud-based data platforms (e.g. Databricks, Snowflake). • Knowledge of data governance, lineage, and metadata management. • Exposure to data cataloguing tools and data quality frameworks. More ❯

to support the delivery of data-centric initiatives within the Digital Trading Analytics (dTA) portfolio. This role is ideal for someone with a strong foundation in data analysis, data management, data quality, and stakeholder engagement—particularly in the context of trading, market data, and analytics platforms. You will work closely with data engineers, platform teams, and business users to … non-technical stakeholders. Nice to Have: • Experience in energy or financial trading environments. • Familiarity with cloud-based data platforms (e.g. Databricks, Snowflake). • Knowledge of data governance, lineage, and metadata management. • Exposure to data cataloguing tools and data quality frameworks. More ❯