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 »
final recommendation. Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB). Capable of communicating data concepts to varied forums and audiences (including business and technology more »
final recommendation. Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB). Capable of communicating data concepts to varied forums and audiences (including business and technology more »
final recommendation. Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB). Capable of communicating data concepts to varied forums and audiences (including business and technology more »
final recommendation. Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data, and multi-media, ETL, ESB). Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure more »
Extensive experience migrating on-premises data warehouses to the cloud. Proficiency with Spark, SQL, Python, R, and other data engineering development tools. Experience with metadata-driven pipelines and SQL serverless data warehouses. Extensive knowledge of querying API systems. Extensive experience building and optimising ETL pipelines using Databricks. Understanding of data more »
document the processes clearly. Experience with data architecture and design patterns. Experience managing a data model repository. Experience with coordinating data modelling activities with metadata management. Knowledge of data profiling tools and techniques. Experience with data management and governance principles. Must be able to provide design options, alternatives and recommendations more »
York, North Yorkshire, United Kingdom, Knapton, City of York
Pavers Ltd
clear and compelling vision, driving the strategic execution of plans. Well-versed in data management and data governance disciplines, particularly data quality, data cataloguing, metadata management, data lineage, master data management and reference data. Experience in data modelling within the media and communications industry is also beneficial. Credible leader with more »
fields relevant to Enterprise Data Management, such as Databases, Data Engineering, Data Science, Data Mesh, Data Fabric, Feature Engineering, Data Quality, Data Governance and Metadata Management, Data Catalogs, and Data Privacy and Security. Strong written and verbal communication skills Bachelor's degree or equivalent experience in a relevant discipline At more »
toolsets and associated architecture solutions. Strong experience with designing cloud-based systems with efficiency and a FinOps focus. Familiar with data profiling (quality), cataloging, metadata, and data mapping Required: Good experience working in an insurance domain either London market or General Insurance Solid recent experience using informatica (must have, or more »
Do you want your role to lead on developing new ways of leveraging data to answer complex questions? Do you bring sound knowledge of metadata management using SQL, VBA/VB Script, Python, R or similar database and software programming languages? You will lead the ongoing development of business information more »
Manchester, North West, United Kingdom Hybrid / WFH Options
Cloud Decisions
APIs, multiple file formats, and databases. Specific experience with ( most of these ): Fabric, Azure Synapse Analytics, ADLS2, Databricks, PySpark, Python, Azure Data Factory (including metadata-driven pipelines), Azure SQL, Keyvault, Azure Security, Microservices, CI/CD and Azure DevOps Experience mentoring and guiding Junior Engineers within a team Ready to more »
models and ETL processes to maintain data integrity. Proficient in data quality tools and techniques, including data profiling, cleansing, and standardisation. Capable of managing metadata to improve data quality and ensure consistent data definitions. Competent in integrating data from diverse sources to guarantee consistency and reliability. What you will be more »
Employment Type: Temporary
Salary: £85000/annum Insurance, Wellbeing and Other Perks
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Hays
of working in a similar role, ideally in a professional services environment · Proven track record leading the establishment of an enterprise-wide capability for Metadata, Data Quality, Master/Reference Data and Data Model management. · Experience of end-to-end delivery of a data strategy, including securing investment, managing design more »
regulatory affairs or a related discipline. Current experience in the Agriculture, Pharmaceutical, or Biotech industries. Proficiency in data governance frameworks, data quality management, and metadata management. Deep understanding of risk assessment and risk management related to regulatory governance and compliance. Expertise in understanding regulatory changes and their impact on data 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 an more »
tools, particularly in relation to property management, title and rights ownership, and offshore industries Experience of coordinate reference systems, projections and transformations Knowledge about metadata and relevant standards, Awareness of Databricks, DataFactory & Power BI Excellent written and oral communication skills If this role is of interest then please send your more »
SENIOR DATA ENGINEER/LEAD DATA ENGINEER/DATA SCIENTIST/SENIOR DATA SCIENTIST/DATA ARCHITECT/BATCH/STREAMING/CICD/METADATA/AMAZON WEB DATA SECURITY/PLATFORM ETL/DATA GOVERNANCE/DV CLEARED/DV CLEARANCE/DEVELOPPED VETTING/DEVELOPED VETTED/DEEP more »
Manage changes to databases, to minimise the impact of changes on applications, reports and dashboards Manage and publicise a repository for live reports and metadata Ensure the accuracy of data in both current and new reports Manage a repository for untested [or development] reports Manages availability and responsiveness of databases more »
and data into a cloud environment utilizing Docker, Nomad, Consul, Kubernetes, Jenkins, and other related tools Develop algorithms and software to correlate lab systems metadata and extracted content and correlate with external data sources to produce integrated data and results Leverage knowledge to support R&D product engineering, operations support more »
existing Cognita NSPB setup, customisations and calculations to trace source of issues and make adjustments should business requirements change in the future Data management (metadata and data load), month-end and other admin tasks Setup dashboards and reports creation Troubleshoot issues and identify root cause Maintain NSPB environment (SB and more »
using industry recognised data modelling patterns/standards and knows when to apply them Understands a range of tools for storing and working with metadata Able to compare and align different data models Working in team environments being a team player Able to provide simple clarity on large volumes of more »
and in evaluations of new software and software release upgrades Supports business studies, proposal teams and costing/feasibility studies Prepares system documentation Maintains metadata repositories Other duties as assigned Qualifications: [Required] 3+ years' experience developing and maintaining complex applications that make extensive use of a supported database technology or more »
in clinical record data handling and database management. Use of basic IT packages including Microsoft Excel. Familiarity with archival clinical tissue handling and clinical metadata collection is advantageous. A background in biological sciences (HNC or equivalent) is desirable. COMMUNICATION & WORKING RELATIONSHIPS This post is an important component of the operational more »
model to a variety of audiences in functional terms. Establish and promulgate a standards-based approach and design for the information model, master and metadata, incorporation of business rules and context, and other data enrichment approaches. Lead the design, validation, update, and maintenance of the institution's conceptual and logical … a phased, iterative approach that implements the information model through the delivery of strategic analytic use cases. Develop an institutional approach to master and metadata including the process for documenting definitions and context with campus partners, a standards-based design for the information governance catalog/tool including how to … categorize and tag data assets, a structured and streamlined process for entering and maintaining master data and metadata and other data management functions. Engage working groups of data stewards and subject matter experts to document, iterate, contextualize, rationalize/normalize, and formalize master and metadata including aligning on the data more »
