Greater London, England, United Kingdom Hybrid / WFH Options
Source Technology
anomalies within the data, leveraging your expertise to enhance decision-making processes and optimise the value derived from the data. Unlock the potential of metadata within the data, exploring innovative methods to extract valuable insights. Experience Required: Proficient data engineering experience Experience with Azure Databricks and building ETL pipelines Package more »
quality and data operations capabilities for the organization’s strategic data platform • Monitoring the overall performance and stability of data pipelines • Implementing data curation, metadata management and data quality tooling • Engaging with our business and technology partners to ensure that the platform fully meets the firm’s needs • Engage with more »
/data engineering/data operations Delivering a robust and reliable data operations function for mission critical data Operating within robust data governance principles – metadata, discovery, tagging and classification, quality, catalogues, inventory and data lineage Service management and running of data platforms leveraging robust processes and frameworks eg. ITIL. Implementing more »
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 of cloud networking architecture more »
a highly complex network cyber security platform; the platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a Software Engineer more »
alignment with business needs for data timeliness. You will support the development and adherence to data governance policies, focusing on data quality, lineage, and metadata management to uphold the data assets' integrity and reliability. What they are looking for... Proven experience in analytics engineering and using Python and DBT to more »
the effective management, protection, and utilisation of data assets across the organisation. Establish and maintain robust data governance controls and processes, including data quality, metadata management, data lineage, and data privacy, to ensure compliance with regulatory requirements and industry standards. Partner with cross-functional teams, including IT, legal, compliance, and more »
data engineering working with multi-TB scale data solutions implementing cloud-based data and analytics solutions implementing and operating within robust data governance principles – metadata, discovery, tagging and classification, quality, catalogues, inventory and data lineage Technical Skills – Deep hands on experience with the following data technologies: Stack including, Azure Data more »
Isleworth, England, United Kingdom Hybrid / WFH Options
WNTD
challenges. Required Skills: Proven experience (minimum 2 years) with Collibra Data Catalog. Deep understanding of data governance concepts and practices. Expertise in data modeling, metadata management, and data lineage. Strong background in data warehouse design and SQL Server ETL processes. Proficiency in Power BI for reporting. Desirable Skills: Experience with more »
enterprise-wide data governance framework across EMEA. Key responsibilities will include embedding the data governance framework; developing the framework; leading the implementation of strategic metadata and data lineage tooling and improving data quality. This is a VP level hire paying circa £100k plus bonus and benefits. We’re looking for more »
City Of London, England, United Kingdom Hybrid / WFH Options
Fruition IT
by design and implementation of user-friendly products through the use of computational and automatable engines and integrations with existing data platforms and pipelines, metadata, and authorisation systems Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient governance products Use standard agile development more »
Architect delivers the vision for the organisation as set by the chief data architect. At this role level, you will: Design data models and metadata systems Help chief data architects to interpret an organisation’s needs Provide oversight and advice to other data architects who are designing and producing data more »
entire digital asset life cycle. Identify opportunities for process optimization and automation to streamline workflows, and enhance efficiency, and effectiveness. Design, implement, and maintain metadata schemas that reflect the true needs of the business. Develop, document, and manage processes on the central system to enhance team operations and global effectiveness. more »
junior members of own team to build capability. Deliver change programmes, driven by business or IT projects, to support data transformation, data structures and metadata for both structured and unstructured data. Skills and experience we’re looking for: Experience liaising with data consumers to understand complex requirements and provide an more »
through a merger with a well-established entertainment provider. THE ROLE: Supporting the Head of Data Governance to embed a data governance framework including metadata management and master data management. Contributing to the implementation of policies, data lineage and data quality rules. Developing data governance training and increasing awareness across … building a data governance network internally. YOUR SKILLS & EXPERIENCE: 3-5 years of Data Governance experience. Experience working in a fast-paced, changing environment. Metadata and master data management experience preferable. Excellent communication skills & stakeholder management experience. Experience working with the DAMA framework is desired. HOW TO APPLY: Please register more »
delivering multi-source, multi-TB, mission critical data solutions implementing cloud-based data and analytics solutions implementing and operating within robust data governance principles – metadata, discovery, tagging and classification, quality, catalogues, inventory and data lineage successful candidate will successfully blend excellent leadership with deep technical expertise hands-on experience with more »
prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK’s scientists, engineers, and more »
business analysis experience in insurance, preferably London Market. Support projects from a data perspective and assist with Analytics & Insights initiatives. Familiarity with data governance, metadata management, and data quality improvement. Proficiency in data modeling, ETL processes, tools like SQL, Power BI, and Informatica, and understanding of SDLC methodologies. If you more »
Greater London, England, United Kingdom Hybrid / WFH Options
Anson McCade
modularity, reusability, and efficiency - across languages. Understanding full development lifecycle, SDLC concepts, version control, and CI/CD pipelines. Knowledge of data security, governance, metadata management, and master data principles. Communication skills, ability to understand business requirements and translate to technical data solutions Benefits: Base Salary more »
logical and/or physical data models and repositories, as well as data ontologies. • Work closely with the clients and other architects to define metadata layers, technical Data strategies and optimal integration of innovative technologies within existing enterprise architecture landscape • Evaluate and select the tools and components necessary for optimal more »
to-day work including managing data migrations and various data governance activities, and delivering various change programmes to support data transformation, data structures and metadata for both structured and unstructured data. You will also provide training to more junior members of the team to build capability. This is a unique more »
City of London, London, United Kingdom Hybrid / WFH Options
Nigel Frank International
to-day work including managing data migrations and various data governance activities, and delivering various change programmes to support data transformation, data structures and metadata for both structured and unstructured data. You will also provide training to more junior members of the team to build capability. This is a unique more »
APIs using Python. Skilled in constructing and enhancing big data data pipelines, architectures, and datasets. Develop processes to facilitate data transformation, manage data structures, metadata, dependencies, and workloads. Demonstrated success in manipulating, merging, processing, and extracting insights from disparate datasets. Extensive expertise in Power BI, including advanced proficiency in designing more »
and technical governance, expertise related to cloud architectures, deployment, and operations Set yourself apart: Experience delivering projects within an agile environment Experience in MDM, Metadata Management, Data Quality and Data Lineage tools E2E Data Architecture and Lifecycle (including non-functional requirements and operations) management Regulatory and Compliance work in Data more »
Multi skilled experience in the concepts and delivery of Data Strategy & Governance. For example: Data Policies, Data Standards, Data Governance Framework, Data Quality Framework, Metadata Management, Master Data Management, Management Information and Data and Analytics. The ability to deliver data strategy & governance tasks as part of a wider framework. Project more »
