London, England, United Kingdom Hybrid / WFH Options
Aventum Group
data warehouses e.g. develop and optimise database solutions to store and retrieve company information. Defining the data architecture framework, standards, and principles, including modelling, metadata, security, reference data such as country codes and security reference data that covers all issued securities across diverse asset classes, and master data such as more »
data warehouses e.g. developing and optimising database solutions to store and retrieve company information. Defining the data architecture framework, standards, and principles, including modelling, metadata, security, reference data such as country codes and security reference data that covers all issued securities across diverse asset classes, and master data such as 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 »
Manchester, North West, United Kingdom Hybrid / WFH Options
TECHNOLOGY RECWORKS LIMITED
strategy pillars across people, processes and technology Knowledge and understanding of Data Management principles, including Data Governance, Data Quality, Master and Reference Data Management, Metadata Management, Security and Compliance Strong experience in Data Warehouse methodologies Experience working across Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake more »
with unstructured datasets. Collaborating with product owners to identify requirements, define desired outcomes and deliver trusted results. Building processes supporting data transformation, data structures, metadata, dependency and workload management. In this role, SQL is heavily focused. An ideal candidate must have hands-on experience with SQL database design. Plus, Python more »
. Expertise in designing and implementing ETL processes using industry-leading tools and frameworks. Solid understanding of data governance principles, data quality management, and metadata management. Excellent problem-solving skills and the ability to troubleshoot complex issues in data warehouse environments. Exceptional communication and interpersonal skills, with the ability to more »
code and a tangible reliable workflow You are curious and enjoy problem solving in the data world using Data Science tools stack You understand metadata and help catalog and build as part of the development life cycle Nice to have: Databricks, Snowflake Good to have: diverse data sources and data more »
Lead the implementation and digitalization agenda in a cross-functional team of architects from business and technology Create the design pillars for Data Governance, Metadata Management, MDM, Data Quality, Data Warehousing, Sourcing and Staging of data, BI, Advanced Analytics and R&D in close alignment with business functions and enterprise 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 »
Promote Data Management standards and best practices Support business and data requirements gathering Input and guidance to business for Data Catalog, Master Data and Metadata Management Lead the data solution designs and execution of data models for these solutions such as Data Warehouse, Data Lake, and Data Lakehouse Work with 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 »
eg: maintenance, quality monitoring, retention, etc) and ensuring compliance with external data governance legislation (eg: GDPR) is designed. A consolidated set of collateral of metadata maintained as part of change processes (eg: Delivery framework Data Platform, and Integration Wikis). Support data quality improvement initiatives by developing data quality assessment more »
in Data Management tooling and their application e.g. Atacama (Data Quality), ILM (Archiving), Collibra (Meta data management), Google Dataplex, Azure Purview Working knowledge of Metadata Solutions and how they are used to drive delivery Previous experience of DevOps processes and tooling i.e. GitHub, Jenkins and Spinnaker Ability to understand business 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 »
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 »
quality assurance checks. the collaboration with Enterprise Architecture team to design and develop solutions within Collibra to address data governance challenges, including data lineage, metadata management, data quality, and data privacy. What you'll need: experience of Information Governance frameworks. overseeing the entire lifecycle of Collibra implementation, from initial setup more »
data and delivery of data consumption use cases Modern data technologies understanding e.g. Machine Learning and Generative AI Experience with data management capabilities like metadata, lineage, data quality, data privacy and data lifecycle management Familiarity with data regulations like GDPR We also offer a wide ranging benefits package, which includes more »
opportunities for process improvements and provide recommendations to enhance data governance initiatives. Stay updated with industry trends and best practices in data governance and metadata management. Analyse information security risks and address issues of non-compliance. Required Skills & Qualifications: 2+ years' experience with Microsoft Purview, with a strong understanding of more »
Data Standards for the organisation, including for data modelling and appropriate templates and guidance for the use thereof Data modelling Data governance Data standards Metadata and repositories Turning business problems into data design Able to communicate clearly and concisely to onboard new members of the team Able to communicate the 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 »
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 »
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 »
Brighton, England, United Kingdom Hybrid / WFH Options
Legal & General
on internal stakeholders and customers is understood. Qualifications What we’re looking for Proficient across many domains of data engineering, including ELT/ETL, metadata management, data integration, data management in transit and at rest and data streaming. Experience of Kimball modelling techniques to design databases & data warehousing solutions that more »
City Of Bristol, England, United Kingdom Hybrid / WFH Options
BJSS
AWS, Azure and GCP Data – you know quality data is the lifeblood of an organisation and have experience in Information & Data Modelling and Standards, Metadata Management, Data Condition and Quality Governance – you've been responsible for setting up and chairing review boards, design authorities or other governance approaches Service Management 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 »
