Bournemouth, England, United Kingdom Hybrid / WFH Options
LV=
About The Role About the Role We have an exciting new opportunity for a new a Data Management Specialist. You will be involved in delivering our Data Strategy, mature our Data Management capabilities and support our Microsoft Fabric and Purview More ❯
Bournemouth, England, United Kingdom Hybrid / WFH Options
LV=
the organisation to ensure data is accurate, secure, consistent, and compliant with regulatory standards. This role will work across business and technical teams to embed data ownership, data quality, metadata management, and stewardship practices. We offer Hybrid working; however, your presence will be required in our Bournemouth offices (happy to discuss). This is a 6 month Fixed Term Contract. … management processes. •Work with risk, compliance, and legal teams to ensure data practices align with regulatory requirements (e.g., GDPR, BCBS 239, DORA). •Oversee the data lineage, catalog and metadata management processes using tools such as Collibra, Informatica, Microsoft Purview, or Alation. •Support the integration of governance practices within data platforms like Azure, Databricks, Microsoft Fabric, and enterprise BI tools. More ❯
and building enterprise wide and platform conceptual, logical and physical models. Proficient in leading small teams of architects/data modellers. Demonstrate a good understanding of data integration tools, metadata repository tools and their use. Appreciation and awareness of the latest concepts around Big Data and its application in Analytics architectures and solutions. A good understanding of Master Data Management More ❯
Bournemouth, England, United Kingdom Hybrid / WFH Options
LV=
Strong communication and documentation skills to translate technical findings into business insights. Desirable •Experience with data quality in real-time or streaming data environments. •Understanding of data lineage and metadata management. •Exposure to data mesh, medallion architecture, or lakehouse patterns. •Knowledge of data governance frameworks such as DAMA-DMBOK or DCAM. Rewards & Benefits This role is a Band C in More ❯
Bristol, England, United Kingdom Hybrid / WFH Options
Capgemini
Understand program requirements and collaborate with clients to craft solutions. Plan and supervise project activities. Your Skills and Experience Experience with Ab Initio, including Co>OP, GDE, express>It, Metadata hub, and Authorization Gateway software. Good understanding of Ab Initio concepts like checkpoints, parallelism, and dynamic layouts. Knowledge of Google Cloud Platform offerings for designing cloud-based Ab Initio platforms. More ❯
Bristol, England, United Kingdom Hybrid / WFH Options
myGwork - LGBTQ+ Business Community
coordinate, and supervise all activities related to the project implementation. Your Skills and Experience Experience with Ab Initio: Extensive experience working with Ab Initio Co>OP, GDE, express>It, Metadata hub, Authorisation Gateway software. Good understanding of Ab Initio concepts like checkpoints, parallelism, graph dynamic layouts. Continuous Flows in Ab Initio. Good knowledge of the Google Cloud Platform offerings, storage More ❯
existing data and analytics platforms and tools. You will contribute in pre-sales and design, implement scalable data architectures, and information solutions covering data security, data privacy, data governance, metadata management, multi-tenancy and mixed workload management, and provide delivery oversight. Here's how you'll contribute: Senior Data Architect at Zensar participates in end to end cycle from opportunity More ❯
data scientists to design and implement data models, schemas, and structures. Ensure that data models support business reporting and analytics needs while optimizing query performance. Maintain data dictionaries and metadata to document data structures and relationships. Performance Optimization Optimize data storage, retrieval, and query performance by implementing indexing, partitioning, and caching strategies. Monitor data processing performance and address bottlenecks as More ❯
principles of data modelling · Re-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, data for analytics and business More ❯
Select and implement resilient, scalable technologies Systems & Data Design • Create and refine system and data models aligned to stakeholder needs • Apply modelling standards and design methods across data domains Metadata & Data Management • Ensure metadata quality and consistency • Implement master data management and integrity processes Problem Solving & Development • Monitor and resolve data-related issues • Design and maintain programs/scripts to … scalable data pipelines and ETL processes • Strong proficiency in data modelling, integration design, and working with large, complex datasets • Ability to profile data, resolve data quality issues, and manage metadata/catalogues effectively • Skilled in communicating complex technical concepts to both technical and non-technical stakeholders • Proficient in programming (e.g. Python, SQL) and using modern data engineering tools and platforms More ❯
client. You'll manage the delivery of ETL/ELT processes using tools like Matillion, Informatica, or Talend, adhering to data engineering best practices and incorporating things such as metadata driven ETL approaches and near real-time data platform architectures. Innovation & Continuous Improvement You'll stay updated on the latest technologies and industry trends, leveraging insights to shape innovative solutions More ❯
and dimensional modeling concepts. Strong command of data transformation and pipeline tools, such as DBT, Apache Spark, or equivalent. Expertise in implementing data governance frameworks, including data quality management, metadata management, and data security practices. Experience leading cross-functional data governance initiatives and councils. Ability to translate complex business requirements into scalable technical solutions. Proficient with BI visualization tools (e.g. More ❯
Bristol, England, United Kingdom Hybrid / WFH Options
Snap Analytics
client. You’ll manage the delivery of ETL/ELT processes using tools like Matillion, Informatica, or Talend, adhering to data engineering best practices and incorporating things such as metadata driven ETL approaches and near real-time data platform architectures. Innovation & Continuous Improvement You’ll stay updated on the latest technologies and industry trends, leveraging insights to shape innovative solutions More ❯
here in the BAU Core Data team - a part of the Finance Business Unit Data Office (BUDO) within the Finance Data & Analytics Office! The BAU Core Data Team manages Metadata and Data Lineage for the Finance Business Unit. The role will involve engaging and closely collaborating with our diverse group of partners across Finance and the wider organisation, to bring … them on the journey of understanding our most important processes and reports and document the Metadata around them - for example, which Systems, Critical Data Elements and Controls the processes use. This enables us to build Data Lineage - a map of how our data flows through our systems and what data is consumed at each step. This gives the Finance Business … of this, the underpinning thread is your role in Helping Britain Prosper. A typical day in this role would include What your key accountabilities will be: Building and managing Metadata and Data Lineage in our strategic metadata repository tool - Collibra. Partnering and developing relationships with key people and teams across Finance and other business teams to understand and document their More ❯
Bristol, England, United Kingdom Hybrid / WFH Options
Lloyds Banking Group
here in the BAU Core Data team – a part of the Finance Business Unit Data Office (BUDO) within the Finance Data & Analytics Office! The BAU Core Data Team manages Metadata and Data Lineage for the Finance Business Unit. The role will involve engaging and closely collaborating with our diverse group of partners across Finance and the wider organisation, to bring … them on the journey of understanding our most important processes and reports and document the Metadata around them – for example, which Systems, Critical Data Elements and Controls the processes use. This enables us to build Data Lineage – a map of how our data flows through our systems and what data is consumed at each step. This gives the Finance Business … of this, the underpinning thread is your role in Helping Britain Prosper. A typical day in this role would include... What your key accountabilities will be: Building and managing Metadata and Data Lineage in our strategic metadata repository tool – Collibra. Partnering and developing relationships with key people and teams across Finance and other business teams to understand and document their More ❯
Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and compliance More ❯
Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and compliance More ❯
Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and compliance More ❯
Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and compliance More ❯
Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and compliance More ❯
Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and compliance More ❯
user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including More ❯
user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including More ❯
and ensure data consistency across domains. Collaborate with teams to design and operate high-quality data products that meet specific business needs, integrating key enablers such as semantic modelling, metadata, and cataloguing. Implement Data Mesh Principles: Lead the implementation of data mesh principles to manage data as a product, ensuring high-quality, reliable, and discoverable data across various domains. Data More ❯
Global Technology, and other Lines of Business to develop contemporary and innovative engineering methods. Job Responsibilities Create and maintain accurate, complete, and consistent governed Data Models with lineage and metadata to facilitate traceability to other metadata classification such as Data Concepts. Collaborate to create, maintain, govern, and use Controlled Vocabularies and Data Sourcing Contracts with Business Partners and the Chief … Data Sourcing registration and JPMC Business Data Taxonomy). Contribute towards the incremental delivery of the Data Strategy by incrementally moving applications towards strategic data sourcing and standardization of metadata and tooling. Standardize and innovate Operational and Analytical Data Management in accordance with Reference Architectures and Operating Models. Required qualifications, capabilities and skills Formal training or certification on Software Engineering … Documents, workshops, and meetings. Preferred qualifications, capabilities and skills Knowledge of Programming Language Design and Implementation. Knowledge of core Information Architecture capabilities such as Reference Data Management, Data Quality, Metadata Management, Data Taxonomy and Classification, and Security and Protection. Knowledge of Financial Services, specifically Wholesale and Investment Banking. Experience in other Data Standards (preferably Financial) such as SWIFT, FIX, or More ❯